Relevant bibliographies by topics / Online diagnostický systém

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

Academic literature on the topic 'Online diagnostický systém'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Online diagnostický systém"

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Wróblewski, Sławomir, and Andrzej Napieralski. "A Multichannel Measurement System for Online Turbogenerator Vibration Diagnostics." IEEE Transactions on Energy Conversion 27, no. 4 (December 2012): 978–83. http://dx.doi.org/10.1109/tec.2012.2208645.

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Kumara, Soundar R. T., and Jinwhan Lee. "Intelligent Integrated Diagnostics: Development of the Diagnostics System for Online Quality Control of Powder Injection Molding." CIRP Annals 44, no. 1 (1995): 393–98. http://dx.doi.org/10.1016/s0007-8506(07)62349-x.

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Korovin, Iakov S., and Maxim V. Khisamutdinov. "Neuronetwork Decision Support System for Oilfield Equipment Condition Online Monitoring." Advanced Materials Research 902 (February 2014): 409–15. http://dx.doi.org/10.4028/www.scientific.net/amr.902.409.

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In this paper we offer the solution of the problem of oil-extracting production efficiency and safety raise by decision support system (DSS) application developed on the artificial neuronetwork technology basis. The description of new database knowledge discovery neuronetwork methods, applied for diagnostics and forecasting is provided. The architecture and the functions of DSS applied for oilfield objects state online monitoring, developed on proposed methods and algorithms basis, is described.
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Kozitsin, Viacheslav, Iurii Katser, and Dmitry Lakontsev. "Online Forecasting and Anomaly Detection Based on the ARIMA Model." Applied Sciences 11, no. 7 (April 2, 2021): 3194. http://dx.doi.org/10.3390/app11073194.

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Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive algorithms are used in the diagnostics. This paper proposes a novel, computationally simple algorithm based on the Auto-Regressive Integrated Moving Average model to solve anomaly detection and forecasting problems. The good performance of the proposed algorithm was confirmed in numerous numerical experiments for both anomaly detection and forecasting problems. Moreover, a description of the Autoregressive Integrated Moving Average Fault Detection (ARIMAFD) library, which includes the proposed algorithms, is provided in this paper. The developed algorithm proves to be an efficient algorithm and can be applied to problems related to anomaly detection and technological parameter forecasting in real diagnostic systems.
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Ding, Shuiting, Ye Yuan, Naiyu Xue, and Xiaofeng Liu. "Online Fault-Tolerant Onboard Aeroengine Model Tuning Structure." International Journal of Aerospace Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/7904657.

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Online onboard aeroengine models (OBEMs) have been widely used in health management, fault diagnostics, and fault-tolerant control. A mismatch between the OBEM and the actual engine may be caused by a variety of factors such as health degradation or sensor fault and may influence the effectiveness of the systems mentioned above. However, mismatch caused by unpredictable sensor fault is hardly distinguished from that caused by health degradation through the tuning process. A fault-tolerant OBEM tuning structure is provided to perform the online tuning function when health degradation and sensor fault coexist. This system includes three parts that include improved fault diagnostics and isolation (IFDI), a fault-tolerant OBEM tuning system (FTOTS), and a channel switching module. IFDI is used to distinguish the cause of mismatch and provide fault information, a FTOTS is used to complete an online tuning process based on information obtained from the IFDI, and the channel switching module is used to switch the working process from the IFDI to the FTOTS. Several simulation results show that this system is able to distinguish the causes of mismatch and complete online tuning in the case of sensor faults.
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Kryukov, O. V., and A. V. Serebryakov. "A system of online diagnostics of the technical condition of wind power plants." Russian Electrical Engineering 86, no. 4 (April 2015): 208–12. http://dx.doi.org/10.3103/s1068371215040069.

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Rahman, Musfiq, and Bruce R. Childers. "Asteroid: Scalable Online Memory Diagnostics for Multi-core, Multi-socket Servers." International Journal of Parallel Programming 44, no. 5 (February 18, 2016): 949–74. http://dx.doi.org/10.1007/s10766-016-0400-2.

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Puchalski, Andrzej, and Iwona Komorska. "Online Fault Diagnosis of Automotive Powernets by Kalman Filtering." Key Engineering Materials 588 (October 2013): 209–13. http://dx.doi.org/10.4028/www.scientific.net/kem.588.209.

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The paper discusses real-time parameters identification methods of the mechatronics subsystems in the automobile for the on-board diagnostics and adaptive control. In particular, the significant increase in electric power consumption requires predictive management strategy that detects critical loads situations. To accomplish these goals we investigated diverse vehicular powernet circuits and devices. This paper presents the results of the extended Kalman filtering algorithm for the parameters estimation of the wiring harness of a cooling fan system.
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Kasprowski, Pawel, and Katarzyna Harezlak. "Vision Diagnostics and Treatment System for Children with Disabilities." Journal of Healthcare Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/9481328.

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Vision plays a crucial role in children’s mental development. Therefore, early diagnosis of any vision disparities and implementation of a correct therapy is very important. However, carrying out such a procedure in case of young children and especially children with brain dysfunctions poses some limitations due to cooperation problems. The vision diagnostics and treatment (VisDaT) system presented in this paper is meant to help therapists in proper diagnosis and treatment involving such children. It utilizes a computer connected to two monitors and equipped with a specialized software. The main system components are as follows: an eye tracker recording child’s eye movements and a digital camera monitoring online child’s reactions. The system is equipped with a specialized software, which creates the opportunity to stimulate children’s vision with a dedicated stimulus and post hoc analyses of recorded sessions, which enable making decision as to the future treatment.
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Paoli, Andrea, Matteo Sartini, and Stéphane Lafortune. "Active fault tolerant control of discrete event systems using online diagnostics." Automatica 47, no. 4 (April 2011): 639–49. http://dx.doi.org/10.1016/j.automatica.2011.01.007.

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Dissertations / Theses on the topic "Online diagnostický systém"

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Cirhanová, Iva. "Zpracování dat z online diagnostického systému." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443756.

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This master thesis deals with data processing from an online diagnostic system. The theoretical part of the work is divided into three chapters, the first deals with technical diagnostics as such, there are basic terminology and concepts associated with technical diagnostics, such as diagnostic methods, tools, models and signals. The second part is focused on diagnostic systems and their division. This chapter also provides some examples of online diagnostic monitoring systems from three different companies. The last chapter of the theoretical part is devoted to the description of the possibilities of data collection from diagnostic systems, ie. description of communication buses and protocols. The practical part of this work focuses on creating an application for data collection and visualization.
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Kříž, Petr. "Online vibrační diagnostika vřetene frézovacího stroje DATRON." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402508.

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This master’s thesis deals with online vibration diagnostics of the milling machine spindle. It is aimed at the implementation of the complex online vibration diagnostics system to chosen milling machine, the suggestion of the vibration measurement system and the suggestion of the evaluation of changes of the technical condition of this milling machine spindle. The description of the vibration diagnostics, the description of the milling machine spindle construction and function and the suggestions for the practical application of vibration diagnostics are also parts of this thesis.
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Zářecký, Tomáš. "Online diagnostika obráběcích strojů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417767.

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This thesis deals with vibration diagnostics and on-line monitoring systems of several producers. Furthermore, this thesis contains a description and evaluation of measuring the vibrations of the machine tool spindle when machining test samples with different cutting conditions and evaluating the surface quality of test samples.
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Rázgová, Benedikta. "Online diagnostika obráběcího stroje MCV 754." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417766.

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This master’s thesis deals with online diagnostics of the machine tool and marginal analysis of surface texture. The first part of the thesis deals with problems theoretically, there are described the machine tools, maintenance, methods of technical diagnostics, specifically online vibrodiagnostic systems and an overview of profile and area parameters. In the practical part, two test samples created under ideal and degraded conditions. In the practical part, two signal processing processes under ideal and degraded conditions are compared using signal analysis from an online vibrodiagnostic system and surface texture analysis. Part of the work is the evaluation of the performed analyzes and recommendations for practice.
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NAIK, SAURABH. "ONLINE DOCUMENTATION AND DIAGNOSTIC SYSTEM FOR THE BEARCAT CUB." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1100799703.

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Sojer, Dominik [Verfasser]. "Synthesis of Online Diagnostic Techniques for Embedded Systems / Dominik Sojer." München : Verlag Dr. Hut, 2013. http://d-nb.info/1042308551/34.

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Li, Zhongliang. "Data-driven fault diagnosis for PEMFC systems." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4335/document.

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Cette thèse est consacrée à l'étude de diagnostic de pannes pour les systèmes pile à combustible de type PEMFC. Le but est d'améliorer la fiabilité et la durabilité de la membrane électrolyte polymère afin de promouvoir la commercialisation de la technologie des piles à combustible. Les approches explorées dans cette thèse sont celles du diagnostic guidé par les données. Les techniques basées sur la reconnaissance de forme sont les plus utilisées. Dans ce travail, les variables considérées sont les tensions des cellules. Les résultats établis dans le cadre de la thèse peuvent être regroupés en trois contributions principales.La première contribution est constituée d'une étude comparative. Plus précisément, plusieurs méthodes sont explorées puis comparées en vue de déterminer une stratégie précise et offrant un coût de calcul optimal.La deuxième contribution concerne le diagnostic online sans connaissance complète des défauts au préalable. Il s'agit d'une technique adaptative qui permet d'appréhender l'apparition de nouveaux types de défauts. Cette technique est fondée sur la méthodologie SSM-SVM et les règles de détection et de localisation ont été améliorées pour répondre au problème du diagnostic en temps réel.La troisième contribution est obtenue à partir méthodologie fondée sur l'utilisation partielle de modèles dynamiques. Le principe de détection et localisation de défauts est fondé sur des techniques d'identification et sur la génération de résidus directement à partir des données d'exploitation.Toutes les stratégies proposées dans le cadre de la thèse ont été testées à travers des données expérimentales et validées sur un système embarqué
Aiming at improving the reliability and durability of Polymer Electrolyte Membrane Fuel Cell (PEMFC) systems and promote the commercialization of fuel cell technologies, this thesis work is dedicated to the fault diagnosis study for PEMFC systems. Data-driven fault diagnosis is the main focus in this thesis. As a main branch of data-driven fault diagnosis, the methods based on pattern classification techniques are firstly studied. Taking individual fuel cell voltages as original diagnosis variables, several representative methodologies are investigated and compared from the perspective of online implementation.Specific to the defects of conventional classification based diagnosis methods, a novel diagnosis strategy is proposed. A new classifier named Sphere-Shaped Multi-class Support Vector Machine (SSM-SVM) and modified diagnostic rules are utilized to realize the novel fault recognition. While an incremental learning method is extended to achieve the online adaptation.Apart from the classification based diagnosis approach, a so-called partial model-based data-driven approach is introduced to handle PEMFC diagnosis in dynamic processes. With the aid of a subspace identification method (SIM), the model-based residual generation is designed directly from the normal and dynamic operating data. Then, fault detection and isolation are further realized by evaluating the generated residuals.The proposed diagnosis strategies have been verified using the experimental data which cover a set of representative faults and different PEMFC stacks. The preliminary online implementation results with an embedded system are also supplied
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Trost, Daniel. "Využití tribodiagnostiky v prediktivní údržbě ve firemní praxi." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402515.

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The thesis deals with the use of tribodiagnostics in predictive maintenance in corporate practice. It is generally dealt with maintenance, then tribodiagnostics in the company Škoda Auto a.s. Used offline and online diagnostic tools are described. Emphasis is placed on verifying the functionality of the newly purchased online filter unit. The experimental part is focused on detailed analysis of the above, including comparison of measurement results offline and online diagnostics. There is also an economic evaluation of savings obtained by operation the online filter unit. In conclusion, the tribodiagnostics recommendations are given for Škoda Auto a.s.
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Shahin, Kamrul. "Modèle graphique probabiliste appliqué au diagnostic de l'état de santé des systèmes, au pronostic et à l'estimation de la durée de vie résiduelle." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0129.

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Cette thèse contribue au développement des recherches dans le domaine du Pronostic et Health Management : gestion de l’état de santé des systèmes complexes. Dans un contexte de management opérationnel et de sûreté de fonctionnement des systèmes, nous proposons d’étudier comment la modélisation par un Modèle Graphique Probabiliste Dynamique (MGPD) permet le diagnostic de l’état de santé courant d’un système, le pronostic de cet état et de l’évolution des dégradations, ainsi que l’estimation de sa durée de vie résiduelle en fonction de ses conditions opérationnelles. La dégradation des composants est en général inconnue et nécessite un arrêt du système pour être observée. Cependant, cela est difficile, voire impossible, durant l’exploitation du système. Néanmoins, un ensemble de grandeurs observables sur le système ou le composant peut caractériser le niveau de dégradation et faciliter l’estimation de la durée de vie résiduelle du composant et du système. Les MGPD offrent une approche adaptée à la modélisation de l’évolution de l’état de santé des systèmes et des composants. Nous étendons la modélisation classique des modèles de la famille des HMM vers les IOHMM pour permettre une propagation temporelle de l’incertitude afin de résoudre le problème de pronostic de l’état de santé et de l’estimation de la durée de vie résiduelle. Cette recherche comprend l’extension des algorithmes d’apprentissage et d’inférence appliqués aussi bien dans le cas d’un composant que pour un système structuré. Cette thèse a pour but de contribuer à lever les verrous scientifiques suivants : - Considérer l'état de santé du système par un modèle stochastique et apprendre les paramètres du modèle à partir des mesures disponibles sur le système. - Établir un diagnostic de l’état de santé du système et le pronostic de son évolution en intégrant plusieurs conditions opérationnelles. - Estimer la durée de vie résiduelle des composants et des systèmes structurés (série, parallèle) à partir de ses composants. L’enjeu est majeur, car le pronostic de la dégradation des composants du système permet de définir des stratégies soit de pilotage soit de maintenance par rapport à la durée de vie résiduelle du système. Cela permet la réduction de la probabilité d’occurrence d’un arrêt pour cause de dysfonctionnement du système, soit en ajustant la vitesse de dégradation pour s’accorder à un plan de maintenance préventif, soit en planifiant les interventions de maintenance de manière proactive
This thesis contributes to prognosis and health management for assessing health condition of complex systems. In the context of operational management and operational safety of systems, we propose to investigate how Dynamic Probabilistic Graphical Modelling (DPGM) can be used to diagnose the current health state of systems, prognostic the future health state, and the evolution of degradation, as well as estimate its remaining useful life based on its operating conditions. System degradation is generally unknown and requires shutting down the system to be observed. However, this is difficult or even impossible during system operation. Though, a set of observable quantities on a system or component can characterise the level of degradation and help to estimate the remaining useful life of components and systems. The DPGM provides an approach suitable for modelling the evolution of the health state of systems and components. The aim of this thesis is to transpose and capitalize on the experience of these previous works in a prognostic context on the basis of a more efficient DPGM taking into account the available knowledge on the system. We extend the classical HMM family models to the IOHMM to allow the time propagation of uncertainty to address prognostic problems. This research includes the extension of learning and inference algorithms. Variants of the HMM model are proposed to incorporate the operating environment into the prognosis. The aim of this thesis is to contribute to solving the following scientific locks: - Considering the state of health whatever the complexity of the system by a stochastic model and learning the model parameters from the available measurements on the system. - Establish a diagnosis of the state of health of the system and the prognosis of its evolution by integrating several operational conditions. - Estimate the remaining useful life of components and structured systems with series and parallel components. This is a major challenge because the prognosis of the degradation of system components makes it possible to define strategies for either control or maintenance in relation to the residual life of the system. This allows the reduction of the probability of occurrence of a shutdown due to a system malfunction either by adjusting the degradation speed to fit in with a preventive maintenance plan or by proactively planning maintenance interventions
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Lin, Kang-Yi, and 林岡逸. "Design and establishing an Online Diagnostic Evaluation System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/77625440457246158398.

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碩士
國立臺灣師範大學
工業教育學系
104
In the Internet era IT and internet technology use in teaching and learning change the learning process. There are many systems on the market but most of the systems only focus on examines and teachers receive the result. In order to assist teachers’ teaching and enforcement students’ learning this system establish a platform allows teachers and students communication in the system. The system divided into three jurisdiction patterns the students carrier, the teacher carries and the management carries also included wired evaluates, the question bank edit, the examination paper edit, the test question edition, the test question diagnostic analysis, result processing, the result diagnostic analysis, the prompt back coupling, the class and grade account number management, the system administration as well as the teaching discussion area function, then in enhancement study efficiency. The findings discovered that, users after on-line evaluation diagnosis system practice analysis, the student’s learning result shows obvious progression, also by master learning, repeat practicing and discussion via this system students gain more knowledge to enforcement their learning result.
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Books on the topic "Online diagnostický systém"

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An introduction to the Tennessee Valley Authority online diagnostic monitoring system project. [Knoxville, Tenn.?]: Tennessee Valley Authority, Power Business Operations/Research and Development, 1989.

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Daroff, Robert B., Joseph Jankovic, Gerald Fenichel, and Walter G. Bradley. Neurology in Clinical Practice e-dition: Text with Continually Updated Online Reference, 2-Volume Set. 5th ed. Butterworth-Heinemann, 2007.

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Clinical Gastroenterology and Hepatology e-dition: Text with Continually Updated Online Reference. Mosby, 2005.

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Lee, Christine U. C., and James Glockner. Mayo Clinic Body MRI Case Review. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199915705.001.0001.

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Using state-of-the-art MRI images, this online resource illustrates radiological findings in the abdomen and pelvis in a case presentation format. Cases presented include common and uncommon diseases of nearly every organ system of the abdomen and pelvis. Each case succinctly discusses the relevant imaging findings, differential diagnosis, and potential imaging and diagnostic pitfalls. Many cases also include discussion of MRI technique, with illustration of some common artifacts.
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Steketee, Gail, and Randy O. Frost. Treatment for Hoarding Disorder. Oxford University Press, 2013. http://dx.doi.org/10.1093/med:psych/9780199334940.001.0001.

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This online Second Edition of Treatment for Hoarding Disorder is the culmination of more than 20 years of research on understanding hoarding and building an effective intervention to address its myriad components. Thoroughly updated and reflective of changes made to the Fifth Edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5), this online client workbook outlines an empirically supported and effective CBT program for treating hoarding disorder. It helps to guide clients through their treatment for hoarding disorder with their clinician. It includes homework, forms, exercises, and behavioral experiments to test personal beliefs about possessions, develop an organization plan and filing system, and sort and organize items room by room. A major goal of the treatment is to recapture the positive role of possessions in the lives of people with hoarding problems, and strategies are outlined for sustaining gains and making further progress, as well as for managing stressful life events that can provoke problematic acquiring and difficulty discarding.
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Book chapters on the topic "Online diagnostický systém"

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Zagorecki, Adam, Piotr Orzechowski, and Katarzyna Hołownia. "Online Diagnostic System Based on Bayesian Networks." In Artificial Intelligence in Medicine, 145–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38326-7_22.

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Kong, Detong, Wei Liu, Zhanli Liu, and Hongwei Wang. "A Remote Online Condition Monitoring and Intelligent Diagnostic System for Wind Turbine." In Intelligent Robotics and Applications, 505–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65289-4_48.

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Wang, Wei, Francesco Di Maio, and Enrico Zio. "A Non-parametric Cumulative Sum Approach for Online Diagnostics of Cyber Attacks to Nuclear Power Plants." In Resilience of Cyber-Physical Systems, 195–228. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95597-1_9.

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Gong, Yu, Weidong Geng, Li Zhang, Chunlei Pan, and Xiaodong Wang. "Online Monitoring System for Fault Diagnostics of High-Pressure Piston Diaphragm Pump Based on Acoustic Emission." In Advances in Mechanical and Electronic Engineering, 43–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31516-9_8.

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Singla, Jimmy. "Intelligent Medical Diagnostic System for Diabetes." In Advances in Social Networking and Online Communities, 188–209. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9096-5.ch010.

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In this chapter, the neuro-fuzzy technique has been used for the diagnosis of different types of diabetes. It has been reported in the literature that triangular membership functions have been deployed for Mamdani and Sugeno fuzzy expert systems that have been used for diagnosis of different types of diabetes. The Gaussian membership functions are expected to give better results. In this context, Gaussian membership functions have been attempted in the neuro-fuzzy system for the diagnosis of different types of diabetes in the research work, and improved results have been obtained in terms of different parameters like sensitivity, specificity, accuracy, precision. Further, for the comparative study, the dataset used for neuro-fuzzy expert system developed in this research work has been considered on Mamdani fuzzy expert system as well as Sugeno fuzzy expert system, and it has been confirmed that the result parameters show better values in the proposed model.
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O'Connor, Adrian, Niall Seery, and Donal Canty. "The Psychological Domain." In Online Course Management, 511–29. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5472-1.ch028.

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This chapter will attempt to frame the potential of a flexible approach to teaching and learning that provides diagnostic and formative evidence to enhance traditional practice in K-12 education. Commencing with a brief account of the Community of Inquiry model (Garrison, Anderson, & Archer, 2000) as a potential framework for online and blended learning, this chapter investigates what is it about traditional classroom practice that researchers wish to enhance, the challenges facing contemporary systems of online and blended learning, and how new ubiquitous configurations for teaching and learning have become possible. With an emphasis on supporting discourse through the development of social and cognitive behavior, this chapter will endeavor to qualify the processes that evidence psychological development in a ubiquitous learning environment and provide data to inform the relative efficacy of utilizing such processes in the design of a new pedagogical approach.
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Malčík, Martin, Josef Malach, and Cestmir Kantor. "TEAMNET." In User Innovation and the Entrepreneurship Phenomenon in the Digital Economy, 241–66. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2826-5.ch012.

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This chapter presents the TeamNet analytical tools and methodology that was created in the framework of the international EUREKA project. TeamNet presents a new approach to the evaluation of the project and working teams. New web-based information system and new methodology were developed. The system is capable of providing online analysis of the efficiency of a team and its members. Specific psychodiagnostic tools (such as the colour association method) were used for a powerful analysis of the interaction characteristics of the team to maximize the objectivity of results. Web portal for total support of the diagnostic is presented at www.hrteamnet.cz. The whole team diagnostic is realized online and the team and individual results are immediately available. The system can significantly help the project and personal managers to create high-efficiency project teams.
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Lee, Kar-Tin, Hitendra Pillay, and Vinesh Chandra. "Linking E-Assessment to Student's Use of Online Learning Content." In Encyclopedia of Information Communication Technology, 532–41. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-845-1.ch070.

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This article will examine the development and implementation of two information and communications technology (ICT) e-assessment tools—a diagnostic assessment system and an intelligent content assessment marking system—for the teaching of secondary science. An e-learning management system (ELMS, see Figure 1) was used with second-year secondary students in science which provided both content and online assessment tools for teachers. By using this system, teachers had the opportunity to modify how they assessed their students by shifting the skills and knowledge being tested and also when and at which stage of the learning they are tested. The use of the ELMS had also assisted teachers to move away from the narrow confines of standardised tests with their discrete and decontextualized ‘items’ towards more complex, holistic, contextualised, and authentic forms of assessment (e.g., Pellegrino, Chudowski, & Glaser, 2001).
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Manz, S. "Online Fault Detection and Diagnosis of Complex Systems Based on Hybrid Component Models." In Condition Monitoring and Diagnostic Engineering Management, 865–72. Elsevier, 2001. http://dx.doi.org/10.1016/b978-008044036-1/50102-5.

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Sharma, Bibhya Nand, Aluwesi Volau Fonolahi, Akeshnil Bali, and Swasti Shubha Narayan. "The Online Mathematics Diagnostic Tool for Transformative Learning in the Pacific." In Cases on Smart Learning Environments, 63–80. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6136-1.ch005.

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With advances in information and communication technology, students can be educated from anywhere at any time at their own pace. Students of the 21st century have different learning expectations. These expectations require the design of smart learning environments to ensure more effective and adaptive learning. This chapter essays an introduction to a new educational tool developed on the Moodle platform by The University of the South Pacific to bridge gaps in mathematics knowledge and skills as students' transit from secondary to tertiary education. The tool, known as the Online Mathematics Diagnostic Tool (OMDT), is an intelligent system which provides online tests and automates personalized remediation. This chapter will include the reasons why this diagnostic tool has been developed for the Pacific region students aspiring for tertiary education. It will also discuss why the tool is considered as a smart learning environment (SLE) and how it ensures effective learning of mathematics.
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Conference papers on the topic "Online diagnostický systém"

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Meher-Homji, Cyrus B. "A Feasibility Study of the Application of Artificial Intelligence Techniques for Turbomachinery Diagnostics." In ASME 1985 International Gas Turbine Conference and Exhibit. American Society of Mechanical Engineers, 1985. http://dx.doi.org/10.1115/85-gt-102.

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This paper presents a study into the application of Artificial Intelligence (AI) techniques (specifically Expert Systems) to the problem of turbomachine diagnostics. The diagnostic process is described and a model for computer implementation provided. Some diagnostic examples are provided to explain the methodology. Expert system development is underway at the author’s corporation for incorporation in online monitoring and diagnostic systems.
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Leffler, Jan, Ondrej Rauner, and Pavel Trnka. "Comparison of two different approaches to the design of an online diagnostic system." In 2020 International Conference on Diagnostics in Electrical Engineering (Diagnostika). IEEE, 2020. http://dx.doi.org/10.1109/diagnostika49114.2020.9214610.

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Adams, Douglas E., and Richard W. Bono. "Structural Diagnostics Using Nonlinear Analysis (SDNA) With Smart Sensor Arrays." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21535.

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Abstract There are compelling needs to develop and install smart online monitoring and diagnostic tools for complex dynamic systems. Automated internal diagnostics and prognostics will help to extend service and design lives for new and aging aircraft, civil infrastructure, mission critical aerospace structures, automotive systems, and industrial machinery. The most innovative aspects of a proposed approach to smart structural diagnostics using nonlinear analysis (sDNA) are discussed here including the sensor array architecture and networked processing platform. A diagnostic technique using transmissibility functions is described for pinpointing the location and extent of damage. Since damage is spatial in nature, these transmissibility functions are well suited for analyzing either passive operating data or active forced response data. Strain gauges installed in sensor array packets are described as ideal for monitoring usage and characterizing damage while accommodating nonlinearity and uncertainty in the system and boundary conditions.
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Frederking, T., and R. Gadow. "Novel Concept for Totally Integrated Automation (TIA) Using Siemens Bus System and WinCC Online Control." In ITSC 2000, edited by Christopher C. Berndt. ASM International, 2000. http://dx.doi.org/10.31399/asm.cp.itsc2000p0963.

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Abstract Total quality management requires definite process control as well as online diagnostics, if applied in industrial surface refinement by thermal spraying. A concept for integrated online diagnostics for the high velocity oxygen fuel (HVOF) flame spray process is presented using Siemens S7-300 programmable logic controller and PC-based Siemens WinCC (Windows Control Center) visualization software. The standard functionality of the WinCC programming environment can be extended by C-scripts. The integrated database allows to protocol the relevant process parameters periodically for total quality assurance. Also particle flux imaging software tools can be implemented to adjust online process parameters and for process diagnostic purposes. The Siemens bus system hierarchy thereby provides high speed communication skills for field bus level data exchange and for supervising system components, e.g. CCD-cameras. The interconnection between S7-300 PLC, 6-axis-robot and a novel WinCC software tool enables definite automatic changes of recipes during the coating process to generate functionally graded coatings.
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Lee, S. Shawn, Chenhui Shao, Tae Hyung Kim, S. Jack Hu, Elijah Kannatey-Asibu, Wayne W. Cai, J. Patrick Spicer, and Jeffrey A. Abell. "Characterization of Ultrasonic Metal Welding by Correlating Online Sensor Signals With Weld Attributes." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4139.

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Online process monitoring in ultrasonic welding of automotive lithium-ion batteries is essential for robust and reliable battery pack assembly. Effective quality monitoring algorithms have been developed to identify out of control parts by applying purely statistical classification methods. However, such methods do not provide the deep physical understanding of the manufacturing process that is necessary to provide diagnostic capability when the process is out of control. The purpose of this study is to determine the physical correlation between ultrasonic welding signal features and the ultrasonic welding process conditions and ultimately joint performance. A deep understanding in these relationships will enable a significant reduction in production launch time and cost, improve process design for ultrasonic welding, and reduce operational downtime through advanced diagnostic methods. In this study, the fundamental physics behind the ultrasonic welding process is investigated using two process signals, weld power and horn displacement. Several online features are identified by examining those signals and their variations under abnormal process conditions. The joint quality is predicted by correlating such online features to weld attributes such as bond density and post-weld thickness that directly impact the weld performance. This study provides a guideline for feature selection and advanced diagnostics to achieve a reliable online quality monitoring system in ultrasonic metal welding.
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Pan, Min-Chun, and Po-Ching Li. "Remote online machine fault diagnostic system." In NDE for Health Monitoring and Diagnostics, edited by Tribikram Kundu. SPIE, 2004. http://dx.doi.org/10.1117/12.537722.

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Khan, Aftab, Dawn Tilbury, and James Moyne. "Predictive-Inspection Based Process Control in End Milling Operations." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82018.

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In the manufacturing industry, product quality control is often treated as a completely different problem than process diagnostics. Diagnostics methods are used to quickly identify faults during the process, whereas product quality is assessed at the final inspection stage, after the process is completed. The large amount of data that is collected to enable the on-line diagnostics, however, can be used to predict the product quality before the part is measured at the final inspection stage. This predicted quality can be used as feedback to a control system that improves the process quality by adjusting the process inputs. In this paper we propose a predictive inspection based process control solution for a manufacturing process. A manufacturing process is modelled as an input-output system with the machine settings as inputs and two kinds of outputs: diagnostic data and quality. This model is obtained from off-line experiments using a combination of process inputs and external disturbances. In the online implementation the predictive process model is updated with the diagnostic data collected during runtime and quality is improved by using a two-loop control strategy, on a part-to-part or run-to-run (R2R) basis. The proposed approach is applied to and developed for an end milling operation and simulation and experimental results are presented.
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Boyce, M. P., J. C. Bowman, C. B. Meher-Homji, and A. B. Focke. "Energy Efficient Operation of Gas Turbine Compressor Sets." In ASME 1985 International Gas Turbine Conference and Exhibit. American Society of Mechanical Engineers, 1985. http://dx.doi.org/10.1115/85-gt-78.

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This paper presents techniques in which greater productivity and fuel savings can be achieved by the use of online monitoring and diagnostic systems and compressor management systems applied to turbo-compressors. With maintenance life cycle costs for gas turbines being about one-fifth of fuel life cycle costs, the incentives for maintaining good operating efficiency is high. An online monitoring and diagnostic system can go a long way in pin-pointing areas in which performance decrements occur. There is also large monetary savings by operating load compressors with minimum recirculation. Secondary benefits of such systems include automated vibration analysis and automated diagnostic of common faults. This paper also covers some case histories that illustrate benefits and generic system diagrams that illustrate such systems.
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Zhang, Hailong, Jie Wang, Ke Tang, Xinchen Ye, Wanqiong Wang, Tohto Nur, Yan Zhu, and Meng Zhang. "Taurus Online Job Submission System." In 2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC). IEEE, 2018. http://dx.doi.org/10.1109/sdpc.2018.8664957.

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Iqbal, Muhammad Nadeem, Luo Yuan Xin, Waheed Ur Rehman, Allah Rakhio, Shahneel Siddique, Danyal Zahid, Wakeel Yasin, and Ammar Bin Waqar. "Diagnostic tool and remote online diagnostic system for Euro standard vehicles." In 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2017. http://dx.doi.org/10.1109/itoec.2017.8122328.

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