Relevant bibliographies by topics / Experimental diagnosis of drives

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Experimental diagnosis of drives'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Experimental diagnosis of drives"

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Rashid, Umair, Muhammad Asim Abbasi, Abdul Qayyum Khan, Muhammad Irfan, Muhammad Abid, and Grzegorz Nowakowski. "Robust Data-Driven Design for Fault Diagnosis of Industrial Drives." Electronics 11, no. 23 (November 23, 2022): 3858. http://dx.doi.org/10.3390/electronics11233858.

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Due to the presence of actuator disturbances and sensor noise, increased false alarm rate and decreased fault detection rate in fault diagnosis systems have become major concerns. Various performance indexes are proposed to deal with such problems with certain limitations. This paper proposes a robust performance-index based fault diagnosis methodology using input–output data. That data is used to construct robust parity space using the subspace identification method and proposed performance index. Generated residual shows enhanced sensitivity towards faults and robustness against unknown disturbances simultaneously. The threshold for residual is designed using the Gaussian likelihood ratio, and the wavelet transformation is used for post-processing. The proposed performance index is further used to develop a fault isolation procedure. To specify the location of the fault, a modified fault isolation scheme based on perfect unknown input decoupling is proposed that makes actuator and sensor residuals robust against disturbances and noise. The proposed detection and isolation scheme is implemented on the induction motor in the experimental setup. The results have shown the percentage fault detection of 98.88%, which is superior among recent research.
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R, Jyothi, Tejas Holla, Umesh NS, K. Uma Rao, and Jayapal R. "Condition Monitoring and Feature Extraction of Stator Current Phasors for Enhanced Fault Diagnosis in AC Drive." International Journal of Engineering and Advanced Technology 11, no. 1 (October 30, 2021): 174–80. http://dx.doi.org/10.35940/ijeat.a3173.1011121.

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AC drives are employed mainly in process plants for various applications. In most industrial applications, Induction motor drives are preferred as they are robust, reliable, and efficient. Process industries have seen a paradigm shift from manual control to automatic control. Advancements in power electronics technology have led to smooth control of the induction motor using variable frequency drives over an entire speed range. Variable Frequency Drives (VFD) comprises of Voltage source inverter and a three phase squirrel cage induction motor. Various electric faults that are incipient in the VFD cause an abrupt change in circuit parameters resulting in insulation damage, reduced efficiency, and leading to catastrophic failure of the entire system. Hence, continuous monitoring of the system parameters such as stator current, speed, and the vibration of the machine is essential to diagnose incipient faults in the system. AI techniques have been effectively used in the fault diagnosis of electrical systems. In the proposed work, simulation results of machine learning-based fault diagnosis techniques are presented. Real-time IoT-based condition monitoring of the Variable Frequency Drive is also implemented for enhanced fault diagnosis of various incipient electrical faults in AC drives. The experimental results obtained are validated with the simulation data.
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Kołodziejek, Piotr, and Daniel Wachowiak. "Fast Real-Time RDFT- and GDFT-Based Direct Fault Diagnosis of Induction Motor Drive." Energies 15, no. 3 (February 8, 2022): 1244. http://dx.doi.org/10.3390/en15031244.

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This paper presents the theoretical analysis and experimental verification of a direct fault harmonic identification approach in a converter-fed electric drive for automated diagnosis purposes. On the basis of the analytical model of the proposed real-time direct fault diagnosis, the fault-related harmonic component is calculated using recursive DFT (RDFT) and Goertzel DFT (GDFT), applied instead of the full spectrum calculations required in the most popular FFT algorithm. The simulation model of an inverter sensorlessly controlled induction motor drive is linked with the induction machine rotor fault model for testing the sensitivity of the GDFT- and RDFT-based fault diagnosis to state variable estimation errors. According to the presented simulation results, the accuracy of the direct identification of a fault-related harmonic is sensitive to the quality of fault harmonic frequency estimation. The sensitivity analysis with respect to RDFT and GDFT algorithms is included. Based on the experimental setup with a sensorlessly controlled induction motor drive with the investigated rotor fault, fault diagnosis algorithms were implemented in the microprocessor by integration with the control system in one microcontroller and experimentally verified. The RDFT and GDFT approach has shown accurate and fast direct automated fault identification at a significantly decreased number of arithmetical operations in the microcontroller, which is convenient for the frequency-domain fault diagnosis in electric drives and supports fault-tolerant control system implementation.
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Kumar, K. Vinoth, S. Suresh Kumar, and A. Immanuel Selvakumar. "Spectrum Analysis of Sidebands in Industrial Drives." International Journal of Measurement Technologies and Instrumentation Engineering 5, no. 2 (July 2015): 1–13. http://dx.doi.org/10.4018/ijmtie.2015070101.

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This paper deals with the diagnosis of induction motors (IM) with the so-called motor current signature analysis (MCSA). The MCSA is one of the most efficient techniques for the detection and the localization of electrical and mechanical failures, in which faults become apparent by harmonic components around the supply frequency. This paper presents a summary of the most frequent faults and its consequences on the stator current spectrum of an IM. A three-phase IM model was used for simulation taking into account in one hand the normal healthy operation and in the other hand the broken rotor bars, the shorted turns in the stator windings, the voltage unbalance between phases of supply and the abnormal behavior of load. The MCSA is used by many authors in literature for faults detection of IM. The major contribution of this work is to prove the efficiency of this diagnosis methodology to detect different faults simultaneously, in normal and abnormal functional conditions. The results illustrate good agreement between both simulated and experimental results.
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Tabet, Seddik, Adel Ghoggal, Hubert Razik, Ishaq Amrani, and Salah Eddine Zouzou. "Experimental and simulation investigation for rotor bar fault diagnosis in closed-loop induction motors drives." Bulletin of Electrical Engineering and Informatics 12, no. 4 (August 1, 2023): 2058–68. http://dx.doi.org/10.11591/beei.v12i4.4833.

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This research presents a comparative analysis of two broken rotor bar (BRB) fault identification techniques for closed-loop induction motors (IMs). Both motor current signal analysis and Hilbert transform (HT) rely on spectrum analysis by means of fast fourier transform (FFT). Both approaches have shown their ability to identify BRBs under varying loads. In contrast, the HT is deemed more efficient than the motor current signature analysis (MCSA) approach when the motor is working without load. To maintain a high-performance speed control and to compensate for BRBs effect on the mechanical speed, the approach of control used is direct torque control (DTC). Utilizing a real-time implementation in MATLAB/Simulink with the real-time interface (RTI) based on the dSPACE 1104 board, the efficacy of the two techniques was evaluated.
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Tabet, Seddik, Adel Ghoggal, Hubert Razik, Ishaq Amrani, and Salah Eddine Zouzou. "Experimental and simulation investigation for rotor bar fault diagnosis in closed-loop induction motors drives." Bulletin of Electrical Engineering and Informatics 12, no. 4 (August 1, 2023): 2058–68. http://dx.doi.org/10.11591/eei.v12i4.4833.

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This research presents a comparative analysis of two broken rotor bar (BRB) fault identification techniques for closed-loop induction motors (IMs). Both motor current signal analysis and Hilbert transform (HT) rely on spectrum analysis by means of fast fourier transform (FFT). Both approaches have shown their ability to identify BRBs under varying loads. In contrast, the HT is deemed more efficient than the motor current signature analysis (MCSA) approach when the motor is working without load. To maintain a high-performance speed control and to compensate for BRBs effect on the mechanical speed, the approach of control used is direct torque control (DTC). Utilizing a real-time implementation in MATLAB/Simulink with the real-time interface (RTI) based on the dSPACE 1104 board, the efficacy of the two techniques was evaluated.
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Saidi, Lotfi, Mohamed Benbouzid, Demba Diallo, Yassine Amirat, Elhoussin Elbouchikhi, and Tianzhen Wang. "Higher-Order Spectra Analysis-Based Diagnosis Method of Blades Biofouling in a PMSG Driven Tidal Stream Turbine." Energies 13, no. 11 (June 5, 2020): 2888. http://dx.doi.org/10.3390/en13112888.

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Most electrical machines and drive signals are non-Gaussian and are highly nonlinear in nature. A useful set of techniques to examine such signals relies on higher-order statistics (HOS) spectral representations. They describe statistical dependencies of frequency components that are neglected by traditional spectral measures, namely the power spectrum (PS). One of the most used HOS is the bispectrum where examining higher-order correlations should provide further details and information about the conditions of electric machines and drives. In this context, the stator currents of electric machines are of particular interest because they are periodic, nonlinear, and cyclostationary. This current is, therefore, well adapted for analysis using bispectrum in the designing of an efficient condition monitoring method for electric machines and drives. This paper is, therefore, proposing a bispectrum-based diagnosis method dealing the with tidal stream turbine (TST) rotor blades biofouling issue, which is a marine environment natural process responsible for turbine rotor unbalance. The proposed bispectrum-based diagnosis method is verified using experimental data provided from a permanent magnet synchronous generator (PMSG)-based TST experiencing biofouling emulated by attachment on the turbine blade. Based on the achieved results, it can be concluded that the proposed diagnosis method has been very successful. Indeed, biofouling imbalance-related frequencies are clearly identified despite marine environmental nuisances (turbulences and waves).
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Papathanasopoulos, Dimitrios A., Konstantinos N. Giannousakis, Evangelos S. Dermatas, and Epaminondas D. Mitronikas. "Vibration Monitoring for Position Sensor Fault Diagnosis in Brushless DC Motor Drives." Energies 14, no. 8 (April 16, 2021): 2248. http://dx.doi.org/10.3390/en14082248.

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A non-invasive technique for condition monitoring of brushless DC motor drives is proposed in this study for Hall-effect position sensor fault diagnosis. Position sensor faults affect rotor position feedback, resulting in faulty transitions, which in turn cause current fluctuations and mechanical oscillations, derating system performance and threatening life expectancy. The main concept of the proposed technique is to detect the faults using vibration signals, acquired by low-cost piezoelectric sensors. With this aim, the frequency spectrum of the piezoelectric sensor output signal is analyzed both under the healthy and faulty operating conditions to highlight the fault signature. Therefore, the second harmonic component of the vibration signal spectrum is evaluated as a reliable signature for the detection of misalignment faults, while the fourth harmonic component is investigated for the position sensor breakdown fault, considering both single and double sensor faults. As the fault signature is localized at these harmonic components, the Goertzel algorithm is promoted as an efficient tool for the harmonic analysis in a narrow frequency band. Simulation results of the system operation, under healthy and faulty conditions, are presented along with the experimental results, verifying the proposed technique performance in detecting the position sensor faults in a non-invasive manner.
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CHAHMI, Abdelghani. "Diagnosis of the Induction Machine Using Advanced Signal Processing Methods." Algerian Journal of Signals and Systems 3, no. 3 (September 15, 2018): 143–50. http://dx.doi.org/10.51485/ajss.v3i3.70.

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This work is a part of the thematic of monitoring and fault diagnosis of the squirrel cage three-phase induction machine. The choice of this type of machine is justified by the growing success it has exhibited, mainly, in the electric drives with variable speed. Signal based detection methods are presented is validated in simulation. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.In this study, the proposed approach considers the value of rotor resistance as fixed for condition monitoring. This value in the diagnostic tools which one uses is not fixed contrary to the classical approaches of control of machine.
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Abidova, E. A., P. V. Povarov, V. M. Popov, O. Yu Pugacheva, and V. Ya Shpicer. "Diagnostics of the drive of the control and protection system of the reactor plant ark type." Global Nuclear Safety, no. 2 (June 21, 2023): 79–87. http://dx.doi.org/10.26583/gns-2023-02-09.

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The drive of the reactor control and protection system (CPS) is a system of normal operation, important for safety. Malfunctions of the drives of the ARC type CPS are often the initial events for accidents leading to unauthorized downtime. The currently existing standard methods for monitoring the parameters of the CPS do not allow for a reliable assessment of the condition of the drives. In this paper, it is proposed to implement an approach that provides an increase in sensitivity when recognizing the states of the drives of the ARC control system by processing the initial signals, which are vibroacoustic signals registered on the lid of the upper unit of the VVER reactor. A procedure for processing diagnostic signals using singular spectrum analysis is proposed. The proposed approach differs from the known ones by the presence of a scaling procedure, which is implemented by multiplying the eigenvalue matrices by the gankelized matrices of the source data. Due to scaling, the necessary sensitivity increase is provided. The expected increase in sensitivity is based on the fact that the eigenvalues reflect the structure of the signals, which changes significantly under the influence of the defect. The proposed method was used to process vibroacoustic signals registered on the lid of the upper block of the VVER reactor unit. Experimental studies were carried out at the test stand of Izhorskiye Zavody OJSC. The results of processing experimental data indicate a high quality of diagnosis. The hypothesis was clearly confirmed that the difference in the structure of diagnostic signals of serviceable and faulty equipment can manifest itself in the eigenvalues of the gankel signal matrices. The approach proposed in the article to the processing of diagnostic signals is easily amenable to automation and can be implemented in the development of a diagnostic system for the drive of an ARC-type CPS.
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Dissertations / Theses on the topic "Experimental diagnosis of drives"

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Mosso-Gautier, Florian. "Vers une compréhension moderne et scientifique du Diagnostic Expérimental des Pulsions." Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ2031.

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Le Diagnostic Expérimental des Pulsions, aussi connu comme le « Test de Szondi », est une méthode projective conçue par Léopold Szondi afin d'explorer les aspirations pulsionnelles inconscientes chez le sujet. Les aspects théorico-cliniques développés par Szondi ou ses successeurs ne sont plus à démontrer, mais il est une zone d'ombre qui est présente et qui n'a toujours pas trouvé de réponse objective, qui est la suivante : « Comment ce test fonctionne-t-il, dans une compréhension et une démarche scientifique ? ». C'est donc pour cela qu'à l'aide des outils et des moyens modernes, nous avons pu mettre à l'épreuve ce qu'il se cachait derrière ces visages, derrière ces fameux « caractères évocateurs » que nous décrivait Szondi lui-même dans son ouvrage Diagnostic Expérimental des Pulsions. Notre recherche nous a amené à étudier chaque visage sous l'angle de la reconnaissance émotionnelle, afin de comprendre l'émotion qui y est présente sur chacun d'entre-eux, pour ainsi établir des ponts théorico-empiriques satisfaisants du point de vue scientifique. Au-delà de cette reconnaissance émotionnelle de chaque visage, nous avons mis au point un modèle, que nous avons appelé la Dialectique Emotionnelle, qui est un modèle multidimensionnel permettant de rendre compte de la théorie szondienne à la lumière de sa compréhension scientifique, modèle reprenant les travaux de Szondi ainsi que ceux de ses successeurs, afin de rendre clair ce point d'obscurité qui est venu entacher la compréhension de l'oeuvre szondienne, et qui a fortement participé à ce que cette oeuvre soit presque oubliée. Dans l'objectif de comprendre toutes les facettes et la richesse de l'oeuvre szondienne, nous avons aussi réalisé certaines expérimentations relevant de la méthode des jugements libres ainsi que l'élaboration d'un protocole de cotation relevant du quantum émotionnel et non pas du quantum pulsionnel, afin d'apporter une compréhension plus fine du Diagnostic Expérimental des Pulsions et de ses possibilités.La compréhension moderne du Diagnostic Expérimental des Pulsions trouve aussi son corollaire dans l'oeuvre première szondienne, qui est l'Analyse du Destin, où il y sera proposé une réflexion croisée entre la pensée szondienne de la première moitié du XXe siècle et la pensée moderne qui vient apporter une compréhension scientifique à l'intuition szondienne, notamment au regard de l'épigénétique et de la psychogénéalogie.La clinique szondienne a aussi été mise à l'épreuve, repensée, remaniée ou augmentée d'autres tests ou pratiques (comme le Test de Rorschach, le Test de la Maison ou même la Psychoboxe), et où nous avons pu constater qu'elle se révélait d'une grande efficacité, et d'un intérêt clinique des plus intéressants mais aussi des plus pertinents.Cette thèse, dans son aspect à rendre compréhensible la théorie szondienne ainsi que la méthode projective qui la sous-tend sur des fondements scientifiques, a pour objectif de rendre hommage à une pensée féconde et toujours d'actualité, mais qui est arrivée trop tôt dans l'Histoire des sciences humaines
The Experimental Diagnosis of Drives, also known as the "Szondi Test", is a projective method created by Léopold Szondi to explore the subject's unconscious drive aspirations. The theoretical-clinical aspects developed by Szondi or his successors are no longer to be demonstrated, but there is a gray area which is present and which has still not found an objective answer, which is the following: "How does this test work, in a scientific understanding and approach? ". This is why, using modern tools and means, we were able to test what was hidden behind these faces, behind these famous "evocative characters" that Szondi himself described to us in his book Experimental Diagnosis of Drives. Our research led us to study each face from the angle of emotional recognition, in order to understand the emotion that is present on each of them, in order to establish satisfactory theoretical-empirical bridges from the scientific point of view. Beyond this emotional recognition of each face, we have developed a model, which we have called the Emotional Dialectic, which is a multidimensional model making it possible to account for the Szondian theory in the light of its scientific understanding, a model taking up the works of Szondi as well as those of his successors, in order to make clear a point of obscurity which has come to taint the understanding of the work of Szondi, and which has strongly contributed to this work being almost forgotten. With the aim of understanding all the facets and the richness of the Szondian work, we also carried out certain experiments relating to the method of free judgments as well as the development of a rating protocol relating to the emotional quantum and not the drive quantum, in order to provide a finer understanding of the Experimental Diagnosis of Drives and its possibilities.The modern understanding of the Experimental Diagnosis of Drives also finds its corollary in the first Szondian work, which is the Analysis of Destiny, where a cross-reflection between Szondian thought of the first half of the 20th century and modern thought will be proposed, which comes to bring a scientific understanding to the Szondian intuition, in particular with regard to epigenetics and psychogenealogy.The Szondian clinic has also been put to the test, redesigned or augmented with other tests or practices (such as the Rorschach Test, the House Test or even Psychoboxing), and where we have been able to see that it proved to be very effective.This thesis, in its aspect of making understandable the Szondian theory as well as the projective method which underlies it on scientific foundations, aims to pay homage to a fruitful and still current thought, but which arrived too early in the history of the human sciences
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Stefani, Andrea <1976&gt. "Induction Motor Diagnosis in Variable Speed Drives." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2311/1/Stefani_Andrea_Tesi.pdf.

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Several diagnostic techniques are presented for the detection of electrical fault in induction motor variable speed drives. These techinques are developed taking into account the impact of the control system on machine variables and non stationary operating conditions.
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Stefani, Andrea <1976&gt. "Induction Motor Diagnosis in Variable Speed Drives." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2311/.

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Several diagnostic techniques are presented for the detection of electrical fault in induction motor variable speed drives. These techinques are developed taking into account the impact of the control system on machine variables and non stationary operating conditions.
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Enomoto, Dorathy Ngauwlieng Hendrikje. "Scleroderma: diagnosis and experimental therapy." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2000. http://dare.uva.nl/document/57061.

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Legha, Daniel. "Predictive maintenance and remote diagnosis for electro-mechanical drives of Very High Speed Trains." Electronic Thesis or Diss., La Rochelle, 2023. http://www.theses.fr/2023LAROS015.

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L'objectif principal de cette recherche est de mettre en œuvre des méthodes de diagnostic prédictif et à distance pour les systèmes d'accessibilité du train, qui sont entraînés par des moteurs à courant continu. Ces systèmes sont les suivants : Les portes intérieures, le gap filler, la porte d'accès des passagers et l'ascenseur. La recherche aborde de multiples équations de maintenance prédictive et de télédiagnostic, telles que : Test de la tension de la courroie, pour tous les types de portes intérieures. Le bon état de la butée d'ouverture de la porte, pour tous les types de portes intérieures. Signature du bon fonctionnement des portes intérieures, à l'aide des signaux enregistrés dans le Big Data, tels que le courant et la tension du moteur, la position de la porte, la vitesse, les capteurs de position, la durée des cycles et d'autres informations contextuelles enregistrées sur le sous-système. Signature du bon fonctionnement du Gap Filler, qui a les mêmes objectifs que la signature du bon fonctionnement des portes intérieures. En ce qui concerne l'aspect théorique, la recherche vise à identifier un ensemble de modes de défaillance sélectionnés sur la base des signaux suivants : Courant du moteur, tension du moteur, position du moteur, vitesse du moteur, capteurs de position et données contextuelles telles que la température, l'inclinaison... La recherche vise à étudier les signaux en régime transitoire et non transitoire, avec et sans capteurs de position dans certains cas, avec une ingénierie des caractéristiques basée sur le domaine temporel, le domaine fréquentiel et le temps-fréquence. En outre, la recherche aborde les techniques d'apprentissage automatique pour la classification des données et des défaillances. L'objectif principal est de travailler sur des techniques basées sur le signal, et si possible, des recherches supplémentaires seront effectuées en utilisant des techniques basées sur le modèle
The main objective of this research is to implement predictive and remote diagnosis solutions for the train’s accessibility systems, which are driven by direct current motors. And these systems are the Internal Doors, the Gap Filler, the Passengers’ Access Door, and the Lift. The research tackles multiple predictive maintenance and remote diagnosis equations, such as: Test of the belt tension, for all the types of Internal Doors. The good condition of the door open stopper, for all types of Internal Doors. Signature of proper operation of Internal Doors, using the Big Data recorded signals such as the motor current, motor voltage, door position, speed, position sensors, cycles’ timings, and other contextual information recorded on the subsystem. Signature of proper operation of Gap Filler, which has the same objectives as the signature of proper operation of Internal Doors...Regarding the academic side, the research aims to identify a set of selected failure modes based on the following signals: Motor current, Motor Voltage, Motor position, Motor speed, Position sensors, and contextual data such as the temperature, the cant/tilt... The research aims to study the signals intransient and non-transient regimes, with and without position sensors in some cases, with features engineering based on the time domain, the frequency domain, and time-frequency. Furthermore, the research tackles Machine Learning techniques for data/failure classification. The main objective is to work on signal-based techniques, and if possible, additional investigation will be done using model-based techniques
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Gritli, Yasser <1975&gt. "Diagnosis and Fault detection in Electrical Machines and Drives based on Advanced Signal Processing Techniques." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6238/1/these-YASSER.pdf.

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In the present thesis, a new methodology of diagnosis based on advanced use of time-frequency technique analysis is presented. More precisely, a new fault index that allows tracking individual fault components in a single frequency band is defined. More in detail, a frequency sliding is applied to the signals being analyzed (currents, voltages, vibration signals), so that each single fault frequency component is shifted into a prefixed single frequency band. Then, the discrete Wavelet Transform is applied to the resulting signal to extract the fault signature in the frequency band that has been chosen. Once the state of the machine has been qualitatively diagnosed, a quantitative evaluation of the fault degree is necessary. For this purpose, a fault index based on the energy calculation of approximation and/or detail signals resulting from wavelet decomposition has been introduced to quantify the fault extend. The main advantages of the developed new method over existing Diagnosis techniques are the following: - Capability of monitoring the fault evolution continuously over time under any transient operating condition; - Speed/slip measurement or estimation is not required; - Higher accuracy in filtering frequency components around the fundamental in case of rotor faults; - Reduction in the likelihood of false indications by avoiding confusion with other fault harmonics (the contribution of the most relevant fault frequency components under speed-varying conditions are clamped in a single frequency band); - Low memory requirement due to low sampling frequency; - Reduction in the latency of time processing (no requirement of repeated sampling operation).
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Gritli, Yasser <1975&gt. "Diagnosis and Fault detection in Electrical Machines and Drives based on Advanced Signal Processing Techniques." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6238/.

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In the present thesis, a new methodology of diagnosis based on advanced use of time-frequency technique analysis is presented. More precisely, a new fault index that allows tracking individual fault components in a single frequency band is defined. More in detail, a frequency sliding is applied to the signals being analyzed (currents, voltages, vibration signals), so that each single fault frequency component is shifted into a prefixed single frequency band. Then, the discrete Wavelet Transform is applied to the resulting signal to extract the fault signature in the frequency band that has been chosen. Once the state of the machine has been qualitatively diagnosed, a quantitative evaluation of the fault degree is necessary. For this purpose, a fault index based on the energy calculation of approximation and/or detail signals resulting from wavelet decomposition has been introduced to quantify the fault extend. The main advantages of the developed new method over existing Diagnosis techniques are the following: - Capability of monitoring the fault evolution continuously over time under any transient operating condition; - Speed/slip measurement or estimation is not required; - Higher accuracy in filtering frequency components around the fundamental in case of rotor faults; - Reduction in the likelihood of false indications by avoiding confusion with other fault harmonics (the contribution of the most relevant fault frequency components under speed-varying conditions are clamped in a single frequency band); - Low memory requirement due to low sampling frequency; - Reduction in the latency of time processing (no requirement of repeated sampling operation).
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Salehifar, Mehdi. "Fault diagnosis and fault tolerant control of multiphase voltage source converters for application in traction drives." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/277469.

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There is an increasing demand for vehicles with less environmental impact and higher fuel efficiency. To meet these requirements, the transportation electrification has been introduced in both academia and industry during last years. Electric vehicle (EV) and hybrid Electric vehicle (HEV) are two practical examples in transportation systems. The typical power train in the EVs consists of three main parts including energy source, power electronics and an electrical motor. Regarding the machine, permanent magnet (PM) motors are the dominant choice for light duty hybrid vehicles in industry due to their higher efficiency and power density. In order to operate the power train, the electrical machine can be supplied and controlled by a voltage source inverter (VSI). The converter is subjected to various fault types. According to the statistics, 38% of faults in a motor drive are due to the power converter. On the other side, the electrical power train should meet a high level of reliability. Multiphase PM machines can meet the reliability requirements due to their fault-tolerant characteristics. The machine can still be operational with faults in multiple phases. Consequently, to realize a multiphase fault-tolerant motor drive, three main concepts should be developed including fault detection (FD), fault isolation and fault-tolerant control. This PhD thesis is therefore focused on FD and fault-tolerant control of a multiphase VSI. To achieve this research goal, the presented FD and control methods of the power converter are thoroughly investigated through literature review. Following that, the operational condition of the multiphase converter supplying the electrical machine is studied. Regarding FD methods in multiphase, three new algorithms are presented in this thesis. These proposed FD methods are also embedded in new fault-tolerant control algorithms. At the first step, a novel model based FD method is proposed to detect multiple open switch faults. This FD method is included in the developed adaptive proportional resonant control algorithm of the power converter. At the second step, two signal based FD methods are proposed. Fault-tolerant control of the power converter with the conventional PI controller is discussed. Furthermore, the theory of SMC is developed. At the last step, finite control set (FCS) model predictive control (MPC) of the five-phase brushless direct current (BLDC) motor is discussed for the first time in this thesis. A simple FD method is derived from the control signals. Inputs to all developed methods are the five-phase currents of the motor. The theory of each method is explained and compared with available methods. To validate the developed theory at each part, FD algorithm is embedded in the fault-tolerant control algorithm. Experimental results are conducted on a five-phase BLDC motor drive. The electrical motor used in the experimental results has an in-wheel outer rotor structure. This motor is suitable for electric vehicles. At the end of each part, the remarkable points and conclusions are presented
Hay una creciente demanda de vehículos con menor impacto ambiental y una mayor eficiencia de combustible. Para cumplir estos requisitos, la electrificación del transporte se ha introducido en la academia y la industria en los últimos años. Vehículos eléctricos y vehículos eléctricos híbridos son dos ejemplos prácticos en los sistemas de transporte. El tren de potencia típico en los vehículos eléctricos se compone de tres partes principales, incluyendo la fuente de energía, la electrónica de potencia y un motor eléctrico. En cuanto a la máquina, de imán permanente motores son la opción dominante para vehículos híbridos ligeros en la industria debido a su mayor eficiencia y densidad de potencia. Con el fin de operar el tren de potencia, la máquina eléctrica se puede suministrar y controlado por un inversor de fuente de tensión. El convertidor se somete a diversos tipos de fallos. Según las estadísticas, 38 % de las fallas en un motor se deben al convertidor de potencia. Por otro lado, el tren de potencia eléctrica debe cumplir con un alto nivel de fiabilidad. Máquinas multifase PM pueden cumplir con los requisitos de fiabilidad debido a sus características de tolerancia a fallos. La máquina puede seguir siendo operativo con fallas en múltiples fases. En consecuencia, para realizar una unidad de motor de alta disponibilidad de múltiples fases, tres conceptos principales deben desarrollarse incluyendo la detección de fallos, el aislamiento de fallas y control tolerante a fallos. Por tanto, esta tesis doctoral se centra en la FD y control tolerante a fallos de un VSI multifase. Para lograr este objetivo la investigación, los productos alimenticios y bebidas y métodos de control que se presentan del convertidor de potencia se investigan a fondo a través de revisión de la literatura. Después de eso, se estudió la condición operativa del convertidor de múltiples el suministro de la máquina eléctrica. En cuanto a los métodos de FD en múltiples fases, tres nuevos algoritmos se presentan en esta tesis. Estos métodos FD propuestas también están integrados en los nuevos algoritmos de control con tolerancia a fallos. En el primer paso, se propone un método FD modelo novela basada detectar fallas múltiples del interruptor abierto. Este método FD está incluido en el algoritmo de control adaptativo desarrollado proporcional resonante del convertidor de potencia. En el segundo paso, se proponen dos métodos FD señal basada. Se discute el control tolerante a fallos del convertidor de potencia con el controlador PI convencional. Además, la teoría de la SMC se desarrolla. En el último paso, el control conjunto finito modelo de control predictivo del motor de cinco fases sin escobillas de corriente continua se discutió por primera vez en esta tesis. Un método FD sencilla se deriva de las señales de control. Las entradas a todos los métodos desarrollados son las corrientes de cinco de fase del motor. La teoría de cada método se explica y se compara con los métodos disponibles. Para validar la teoría desarrollada en cada parte, FD algoritmo está incorporado en el algoritmo de control tolerante a fallos. Los resultados experimentales se llevan a cabo en una unidad de motor BLDC de cinco fases. El motor eléctrico usado en los resultados experimentales tiene una estructura de rotor exterior en las cuatro ruedas. Este motor es adecuado para los vehículos eléctricos. Al final de cada parte, se presentan los puntos notables y conclusiones
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Awadallah, Mohamed Abdel-Azim Mohamed. "Automatic fault diagnosis and location in CSI-fed brushless DC motor drives using Neuro-Fuzzy Systems /." Search for this dissertation online, 2004. http://wwwlib.umi.com/cr/ksu/main.

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Alemany, Ripoll Montserrat. "MRI Diagnosis of Intracranial Hemorrhage : Experimental and Clinical Studies." Doctoral thesis, Uppsala University, Department of Oncology, Radiology and Clinical Immunology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3333.

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The purpose of this work was to improve the diagnosis of intracranial hemorrhage with MRI, using, among others, T2*-w GE sequences. Various sequences were tested in rabbits at two magnetic field strengths. Then, the most effective technique was applied to stroke patients.

Experimental studies: The MR detectability of small experimental haematomas in the brain and of blood in the cerebrospinal fluid (CSF) spaces of 30 rabbits was evaluated. MRI examinations were performed at determined intervals. The last MR images were compared to formalin fixed brain sections and, in 16 rabbits, also to the histological findings. T2*-weighted GE sequences revealed all the intraparenchymal haematomas at 1.5 T, appearing strongly hypointense. Their signal patterns remained unchanged during the follow-up. Blood in the CSF spaces was best detected at 1.5T with T2*-weighted GE sequences during the first 2 days. FLAIR and SE sequences were rather insensitive.

Clinical studies: MR examinations were performed at 1.5T, including T1- and T2-w SE, FLAIR and T2*-w GE sequences. In the first clinical study, 66 intraparenchymal hematomas (IPH) of different sizes and ages were examined. T2*-w GE sequence was the most sensitive. On all the sequences, we found a big variety of signal patterns, without a clear relationship to the age of the hematomas.

In a second clinical study, MR examinations were performed to 83 patients with acute stroke: 43 presented acute IPH and 40 were used as controls. Old microhemorrhages (OMHs) were found in 60% of the patients with IPH, and in 15% of the controls.

Conclusion: T2*-weighted GE sequences are capable of revealing very small intraparenchymal hemorrhages at any stage, and blood in CSF spaces during at least the first 2 days. The age of IPHs cannot reliably be estimated with MRI. We have found a correlation between the presence of OMHs and acute intraparenchymal hematomas.

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Books on the topic "Experimental diagnosis of drives"

1

Petkov, Koliu Donev. Theoretical and experimental study of sheave and rope traction drives. [U.S.]: [Elevator World], 1996.

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Jean-Yves, Reginster, ed. Osteoarthritis: Clinical and experimental aspects. Berlin: Springer, 1999.

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Experimental models for renal diseases: Pathogenesis and diagnosis. Basel: Karger, 2011.

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m, Mats Wikstro. MR imaging of experimental myocardial infarction. Uppsala: [Uppsala University], 1992.

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Biomedical science practice: Experimental and professional skills. Oxford: Oxford University Press, 2011.

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International, Symposium on Experimental and Clinical Aspects of Cerebral Sinus Thrombosis (1987 Nymphenburg Munich Germany). Cerebral sinus thrombosis: Experimental and clinical aspects. New York: Plenum Press, 1990.

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Hepatocyte-specific contrast media for CT: An experimental investigation. Copenhagen: Munksgaard, 1997.

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Jung, K. 1942 Jan. 22-, Mattenheimer Hermann, and Burchardt U, eds. Urinary enzymes in clinical and experimental medicine. Berlin: Springer-Verlag, 1992.

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Puolakkainen, Pauli. The early diagnosis and assessment of the severity of acute pancreatitis: An experimental and clinical study. Helsinki: [s.n.], 1989.

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Lutz, Norbert, Jonathan V. Sweedler, and Ron Wevers. Methodologies for metabolomics: Experimental strategies and techniques. Cambridge: Cambridge University Press, 2012.

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Book chapters on the topic "Experimental diagnosis of drives"

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Chen, Hongtian, Bin Jiang, Ningyun Lu, and Wen Chen. "Traction Systems and Experimental Platforms." In Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains, 33–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46263-5_2.

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Zucchetti, Lais, Patricia Poyastro, Silvia Trein Heimfarth Dapper, Angela Borges Masuero, and Acir Mércio Loredo-Souza. "The Wind-Driven Rain and the Buildings: Directional Driving Rain, Experimental Simulation and Quantification of Wetness Areas." In Recent Developments in Building Diagnosis Techniques, 91–103. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_6.

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Serai, Suraj D., and Meng Yin. "MR Elastography of the Abdomen: Experimental Protocols." In Methods in Molecular Biology, 519–46. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_32.

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AbstractApplication of MRE for noninvasive evaluation of renal fibrosis has great potential for noninvasive assessment in patients with chronic kidney disease (CKD). CKD leads to severe complications, which require dialysis or kidney transplant and could even result in death. CKD in native kidneys and interstitial fibrosis in allograft kidneys are the two major kidney fibrotic pathologies where MRE may be clinically useful. Both these conditions can lead to extensive morbidity, mortality, and high health care costs. Currently, biopsy is the standard method for renal fibrosis staging. This method of diagnosis is painful, invasive, limited by sampling bias, exhibits inter- and intraobserver variability, requires prolonged hospitalization, poses risk of complications and significant bleeding, and could even lead to death. MRE based methods can potentially be useful to noninvasively detect, stage, and monitor renal fibrosis, reducing the need for renal biopsy. In this chapter, we describe experimental procedure and step by step instructions to run MRE along with some illustrative applications. We also includes sections on how to perform data quality check and analysis methods.This publication is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers.
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Huang, W. T., H. Zhai, J. N. Luo, Y. C. Jiang, and W. J. Wang. "Experimental and Simulation Data-Driven Rolling Bearing Fault Size Quantitative Diagnosis in Big Data Era." In Proceedings of MEACM 2020, 173–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67958-3_20.

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Laustsen, Christoffer, Cornelius von Morze, and Galen D. Reed. "Hyperpolarized Carbon (13C) MRI of the Kidney: Experimental Protocol." In Methods in Molecular Biology, 481–93. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_29.

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AbstractAlterations in renal metabolism are associated with both physiological and pathophysiologic events. The existing noninvasive analytic tools including medical imaging have limited capability for investigating these processes, which potentially limits current understanding of kidney disease and the precision of its clinical diagnosis. Hyperpolarized 13C MRI is a new medical imaging modality that can capture changes in the metabolic processing of certain rapidly metabolized substrates, as well as changes in kidney function. Here we describe experimental protocols for renal metabolic [1-13C]pyruvate and functional 13C-urea imaging step-by-step. These methods and protocols are useful for investigating renal blood flow and function as well as the renal metabolic status of rodents in vivo under various experimental (patho)physiological conditions.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This experimental protocol is complemented by two separate chapters describing the basic concept and data analysis.
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Isermann, Rolf. "Fault diagnosis of electrical drives." In Fault-Diagnosis Applications, 49–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-12767-0_3.

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Eberson, Lennart. "Experimental Diagnosis." In Reactivity and Structure Concepts in Organic Chemistry, 67–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-72544-9_5.

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Isermann, Rolf. "Fault detection and diagnosis of DC motor drives." In Fault-Diagnosis Systems, 369–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-30368-5_20.

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Marcus, Pamela M. "Foundations." In Assessment of Cancer Screening, 1–13. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94577-0_1.

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AbstractThe ability to understand cancer screening data does not require an extensive background in biostatistics, biology, or oncology. Rather, it requires clear thinking, an open mind, and knowledge of a small set of foundational concepts, which are presented in this chapter. Cancer screening, the routine, periodic testing for signs of cancer among individuals who have no symptoms, is explained and its goals, at both an individual and population level, are discussed. Reasons that have driven the decision to screen for certain cancers in the US are presented, as are reasons that have driven the choice of who to screen. The clinical activities that come before and after application of the screening test, including invitation to be screened, diagnostic evaluation of a positive test, and cancer diagnosis, as well as the need to consider them when evaluating cancer screening, are discussed. Organized screening programs and opportunistic screening are compared and their strengths and weaknesses are noted. The most frequently used metrics of benefit of cancer screening are presented along with arguments for and against their use. The reason why efficacy, the ability of cancer screening to lead to a benefit in an experimental setting, does not guarantee effectiveness, the ability to lead to a benefit in a community setting, is discussed. The chapter closes with discussion of a central issue in cancer screening: the practice turns some healthy individuals into cancer patients, perhaps with no gain.
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Longobardo, Guy, Carlo Evangelisti, Nanduri Prabhakar, and Neil S. Cherniack. "Neural Drives and Breathing Stability." In Advances in Experimental Medicine and Biology, 453–58. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1375-9_73.

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Conference papers on the topic "Experimental diagnosis of drives"

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Dias, Cleber Gustavo, and Cristiano Morais de Sousa. "An experimental approach for diagnosis of adjacent and nonadjacent broken bars in induction motors at very low slip." In 2017 IEEE International Electric Machines and Drives Conference (IEMDC). IEEE, 2017. http://dx.doi.org/10.1109/iemdc.2017.8002273.

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Feng, Jianqiang, Jiafang Shan, and Mao Wang. "A Fault Diagnosis Expert System for LHCD System on EAST." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29346.

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Lower hybrid current drive (LHCD) is an efficient method for noninductive current drive in fusion devices. The LHCD system has been constructed on the Experimental Advanced Superconduct Tokamak (EAST). It is a complex system due to lots of devices involved. Each device has possibility of faults, which causes great difficulties in fault diagnosis. Consequently, a fault diagnosis expert system is essential for a safe and steady operation of the LHCD system. This paper proposes an expert system called LFDES (lower hybrid current drive fault diagnosis expert system) to aid operators in diagnosing and analyzing abnormal situations of the LHCD system. After a brief description of the structure of LHCD system, the LFDES architecture, the knowledge base, the inference engine and the database are presented in detail. Based on an empirical knowledge, the diagnostic tree of LHCD system is built. A fuzzy group multiple attribute decision making method is used to determine the priorities of nodes in the diagnostic tree. KDevelop tool, QT Designer tool and Linux operation system have been used in developing the proposed system. In the study, satisfactory results were obtained. The analyses of the results indicated that LFDES can provide reliable, efficient and economical service.
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Pochanke, Zbigniew, Waldemar Chmielak, and Tadeusz Daszczynski. "Experimental studies of circuit breaker drives and mechanisms diagnostics." In 2016 Progress in Applied Electrical Engineering (PAEE). IEEE, 2016. http://dx.doi.org/10.1109/paee.2016.7605102.

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Miletic, Alan, and Mirko Cettolo. "Experimental research on rotor fault diagnosis using external coil voltage analysis and shaft voltage signal analysis." In 2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (DEMPED). IEEE, 2005. http://dx.doi.org/10.1109/demped.2005.4662497.

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Gritli, Y., A. Stefani, C. Rossi, F. Filippetti, A. Chatti, and L. Zarri. "Experimental validation of doubly fed induction machine rotor fault diagnosis based on wavelet analysis in closed-loop operations." In 2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM 2010). IEEE, 2010. http://dx.doi.org/10.1109/speedam.2010.5544898.

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Scimmi, Leonardo Sabatino, Matteo Melchiorre, Stefano Mauro, and Stefano Pastorelli. "Experimental Real-Time Setup for Vision Driven Hand-Over with a Collaborative Robot." In 2019 International Conference on Control, Automation and Diagnosis (ICCAD). IEEE, 2019. http://dx.doi.org/10.1109/iccad46983.2019.9037961.

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Bruzzese, C., and E. Santini. "Experimental Performances of Harmonic Current Sideband Based Broken Bar Indicators." In 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives. IEEE, 2007. http://dx.doi.org/10.1109/demped.2007.4393099.

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Zygmunt, M., M. Orkisz, P. Joerg, M. Wnek, and J. Nowak. "Design of experiment for diagnosis of the temperatures in AC motor drive." In 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives. IEEE, 2007. http://dx.doi.org/10.1109/demped.2007.4393121.

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de la Barrera, P. M., M. R. Curti, G. R. Bossio, G. O. Garcia, and J. A. Solsona. "Experimental generation and quantification of stator core faults on induction motors." In 2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives - SDEMPED. IEEE, 2009. http://dx.doi.org/10.1109/demped.2009.5292775.

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Khelil, Y., P. Maussion, and T. Lebey. "Experimental designs for tracking the influent operating parameters on insulation reliability." In 2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives - SDEMPED. IEEE, 2009. http://dx.doi.org/10.1109/demped.2009.5292779.

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Reports on the topic "Experimental diagnosis of drives"

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Zelkowitz, Marvin V., and Dolores R. Wallace. Experimental models for software diagnosis. Gaithersburg, MD: National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.5889.

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J.J. MacFarlane, D.H. Cohen, P. Wang, G.A. Moses, R.R. Peterson, P.A. Jaanimagi, O.L. Langen, et al. Development of X-ray tracer diagnostics for radiatively-driven ablator experiments [annual report FY1998]. Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/765022.

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Justino, Patricia, Marinella Leone, Pierfrancesco Rolla, and Monique Abimpaye. What drives parental investments in early childhood? Experimental evidence from a video intervention in Rwanda. UNU-WIDER, June 2023. http://dx.doi.org/10.35188/unu-wider/2023/383-3.

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MacFarlane, J. J., D. H. Cohen, G. A. Ping Wang, R. R. Moses, P. A. Peterson, Jaanimagi, O. L. Landen, et al. Final Report: Development of X-ray tracer diagnostics for radiatively-driven ablator experiments, November 1, 1997 - October 31, 1998. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/765573.

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Lopez, Carolina, Anja Sautmann, and Simone Schaner. Do Patients Value High-Quality Medical Care? Experimental Evidence from Malaria Diagnosis and Treatment. Cambridge, MA: National Bureau of Economic Research, January 2024. http://dx.doi.org/10.3386/w32075.

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Carneiro, Pedro, Yyannu Cruz-Aguayo, Francesca Salvati, and Norbert Schady. The Effect of Classroom Rank on Learning throughout Elementary School: Experimental Evidence from Ecuador. Inter-American Development Bank, September 2023. http://dx.doi.org/10.18235/0005149.

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We study the impact on learning of a child's rank in the classroom using a unique experiment from Ecuador. Within each school, students were randomly assigned to classrooms in every grade between kindergarten and 6th grade. Therefore, two students with the same ability can have different classroom ranks because of the (random) peer composition of their classroom. To isolate the impact of rank from other peer influences we include classroom fixed effects. Children with higher classroom rank at the beginning of the academic year have significantly higher math test scores at the end of that grade. Classroom rank in math, not language, drives our results. The impact of classroom math rank is larger for younger children, and grows substantially over time. Exogenous changes in classroom rank in math also improve executive function, child happiness, and teacher perceptions of student ability.
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Guo, Jing, Yu han Chen, Chun xiao Li, Xiao Ling, Panpan Wang, Yuqing Yang, and Yingying Zhang. Meta-analysis of Kangai injection combined with radiotherapy and chemotherapy in the treatment of gynecological malignant tumors. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2022. http://dx.doi.org/10.37766/inplasy2022.6.0063.

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Review question / Objective: This study systematically evaluated the clinical efficacy and safety of Kangai injection combined with radiotherapy and chemotherapy in the treatment of gynecological malignant tumors. The subjects of the study were patients with clinical diagnosis of ovarian cancer, cervical cancer, and endometrial cancer. The experimental group was given Kang'ai injection combined with radiotherapy and chemotherapy, while the control group was given conventional chemotherapy. The primary outcome was the overall clinical response rate. Secondary outcomes included quality of life, body mass, indicators of immune function, and adverse events. Information sources: Eight databases including CNKI, Wan fang Database, VIP Chinese Database, China Biomedical Literature Service System, EI, Springer, PubMed, The Cochrane Library were searched before May 2022.
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Tarasenko, Rostyslav O., Svitlana M. Amelina, and Albert A. Azaryan. Integrated testing system of information competence components of future translators. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3879.

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The article deals with the diagnosis of the formation of the information competence components of translators through testing. The use of testing to determine the level of formation of the information-thematic component of the information competence of translators is demonstrated. It has been established that one of the ways to form the information-thematic component of information competence in the aspect of studying terminology can be the use of thematic networks. The development of a thematic network is shown on the example of the thematic network “Electrical equipment”. The stages of test control, which are consistent with the logic of the organization of the educational process and the process of forming the information competence of the future translator according to the scheme of the developed thematic network, have been determined. These stages are the current, thematic, modular, final testing. The main types of test tasks are defined, the combination of which allows diagnosing the level of formation of the information-thematic component of students’ information competence. Criteria and principles for the selection of test tasks for each of the testing stages are proposed. The ratio of test tasks of different types and complexity at the determined testing stages has been developed. The results of an experimental study on the diagnosis of the formation of the information-thematic component of the information competence of future translators by applying the developed integrative testing system using the Moodle platform are presented.
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Zanker. PR-343-06604-R02 Smart USM Diagnostics - Phase 2. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 2009. http://dx.doi.org/10.55274/r0010758.

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It has long been known that all ultrasonic flow meters, especially those that exploit multiple paths to achieve higher accuracies, are capable of extensive self-diagnosis. However, each manufacturer of the technology has tended to develop diagnostic tools peculiar to his particular device. This has led to a confusing mix of offerings that are not transportable between meters, and whose interpretations are not always consistent. This report addresses: � Verification of the Phase 1 models against available field data; � Implementation of field-tested methods offered by PRCI users; � Trending the diagnostics with time to detect changes; � Establishing the significance of the changes (magnitude of error); � Deciding if the changes require intervention (maintenance, re-calibration); � Tuning of the Phase 1 models based on this experience; � Verification of the models using experimental testing.
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Ma, Yunxing, Julia Brettschneider, and Joanna Collingwood. A systematic review and meta-analysis of cerebrospinal fluid amyloid and tau levels in patients progressing from Mild Cognitive Impairment to Alzheimer’s Disease. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0020.

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Review question / Objective: Reported levels of amyloid-beta and tau in human cerebrospinal fluid (CSF) are evaluated to discover if these biochemical markers can predict the transition from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD). A systematic review and quantitative meta-analyses are performed to test relationships between three potential biomarkers in CSF (Aβ(1-42), T-tau, and P-tau181) and the evolution of AD in longitudinal evaluations of levels relative to baseline, using prior-published experimental data. The primary focus of the analysis is on the period describing the transition of a patient from MCI to AD, where it is critical to discover the main biomarker characteristics that differentiate patient outcomes for those who have a stable form of MCI, and those who progress to a confirmed diagnosis of AD. A secondary purpose of the review was to examine the status of iron in CSF as a function of disease status.
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