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Academic literature on the topic 'Vibrational Monitoring'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Vibrational Monitoring"

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Feng, Jianxiong, Yangfan Liu, and Kai Ming Li. "Vibrational Monitoring of Nested Planetary Geartrain with Unground Pinion." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 5 (August 1, 2021): 1471–87. http://dx.doi.org/10.3397/in-2021-1852.

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The nested planetary gear train, which has two integrated single-stage planetary gearsets, is one of the newly developed compound gear train that has been successfully applied to the automobile transmissions. In the current study, a certain type of gear fault in the nested gear train, ungrounded pinion, is investigated using a non-destructive approach monitoring its vibration levels. A novel experimental test stand with open and vertical setup has been designed to collect the vibrational data by mounting the accelerometer directly to the gear clutches. Each of the two layers of the compound gear was tested separately. The measured vibrational data were processed with several signal processing techniques, which includes (a) frequency spectrum analysis, (b) time synchronous averaging (TSA) and (c) modulation sideband analysis. The experimental results show that the existence of the ungrounded pinion can be identified with the frequency spectrum analysis of the vibrational data. In addition, the modulation sidebands are also modeled using a modified version of the traditional technique of physical signal modeling. It is shown that the relative phase of the planet and the meshing vibration strength changed by the unground gear is the critical factor for determining the modulation sideband behavior. In addition, the location of the ungrounded pinion can also be determined by the time history processed by TSA.
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Mohanty, Lipi, Yaowen Yang, and Swee Tjin. "Passively Conducted Vibration Sensing with Fiber Bragg Gratings." Applied Sciences 8, no. 9 (September 10, 2018): 1599. http://dx.doi.org/10.3390/app8091599.

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Measuring vibrations is a common method of monitoring the integrity of structures and heavy machinery, that are subject to dynamic loads. Strong vibrations for prolonged periods of time can be caused by various sources, such as trains, motors and heavy machinery. These strong vibrations should be identified and managed to ensure operational safety. This study proposes a flexible metal beam sensor with a fiber Bragg grating (FBG) mounted on the surface to measure the vibrational frequency. We present a sensor for measuring the vibrational frequencies on-site by placing the beam so that it makes physical contact with the vibrating body. The sensor has been tested in the range of 50–200 Hz. The sensing beam can detect the vibrations that are induced in other metallic bodies where there are metallic structures of low stiffness to conduct the vibration. The results show that the sensing beam is capable of detecting the frequency of forced vibrations from its periphery when placed in different orientations.
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Muscat, Andrew, Soham Bhattacharya, and Yong Zhu. "Electromagnetic Vibrational Energy Harvesters: A Review." Sensors 22, no. 15 (July 25, 2022): 5555. http://dx.doi.org/10.3390/s22155555.

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As industries need more real-time monitoring and interconnected systems, the demand for wireless sensors expands. Vibrational energy harvesters are a potential solution for powering these sensors, as vibrations commonly exist where monitoring occurs. Developments in low-power circuitry have also led to the feasibility of these types of harvesters. Electromagnetic harvesters are a standout among various types of vibrational harvesters due to their ability to capture kinetic energy in a low-frequency range. This leads to these devices being more applicable in real-world applications where ambient vibrations are typical of having low frequencies. Hence, extensive research has been undertaken to make electromagnetic harvesters more efficient and compact. This review study aims to examine recent literature that has made advancements and demonstrated the full potential of such devices.
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Townsend, Scott, Stephen Grigg, Renato Picelli, Carol Featherston, and Hyunsun Alicia Kim. "Topology optimization of vibrational piezoelectric energy harvesters for structural health monitoring applications." Journal of Intelligent Material Systems and Structures 30, no. 18-19 (September 22, 2019): 2894–907. http://dx.doi.org/10.1177/1045389x19873392.

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Aircraft structures exhibit localized vibrations over a wide range of frequencies. Such vibrations can be used to power sensors which then monitor the health of the structure. Conventional vibrational piezoelectric harvesting involves optimizing the harvester for one distinct frequency. The aim of this work is to design a wireless vibrational piezoelectric system capable of energy harvesting in the range of 100–500 Hz by tailoring the resonant behavior of cantilever structures. We herein employ a model capable of predicting the performance of a piezoelectric cantilever retrofit on a structural health monitoring sensor and then formulate a design optimization problem and solve with the level set topology optimization method. The designs are verified through fabrication of experimental prototypes.
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Muszynska, Agnes. "Vibrational Diagnostics of Rotating Machinery Malfunctions." International Journal of Rotating Machinery 1, no. 3-4 (1995): 237–66. http://dx.doi.org/10.1155/s1023621x95000108.

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This paper outlines rotating machinery malfunction diagnostics using vibration data in correlation with operational process data. The advantages of vibration monitoring systems as a part of preventive/predictive maintenance programs are emphasized. After presenting basic principles of machinery diagnostics, several specific malfunction symptoms supported by simple mathematical models are given. These malfunctions include unbalance, excessive radial load, rotor-to-stator rubbing, fluid-induced vibrations, loose stationary and rotating parts, coupled torsional/lateral vibration excitation, and rotor cracking. The experimental results and actual field data illustrate the rotor vibration responses for individual malfunctions. Application of synchronous and nonsynchronous perturbation testing used for identification of basic dynamic characteristics of rotors is presented. Future advancements in vibration monitoring and diagnostics of rotating machinery health are discussed. In the Appendix, basic instrumentation for machine monitoring is outlined.
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Ben-Romdhane, Mohamed. "Condition based monitoring by vibrational analysis." Journal of the Acoustical Society of America 112, no. 1 (2002): 17. http://dx.doi.org/10.1121/1.1500897.

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Panayanthatta, Namanu, Giacomo Clementi, Merieme Ouhabaz, Mario Costanza, Samuel Margueron, Ausrine Bartasyte, Skandar Basrour, et al. "A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring." Sensors 21, no. 22 (November 11, 2021): 7503. http://dx.doi.org/10.3390/s21227503.

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Wireless sensor nodes (WSNs) are the fundamental part of an Internet of Things (IoT) system for detecting and transmitting data to a master node for processing. Several research studies reveal that one of the disadvantages of conventional, battery-powered WSNs, however, is that they typically require periodic maintenance. This paper aims to contribute to existing research studies on this issue by exploring a new energy-autonomous and battery-free WSN concept for monitor vibrations. The node is self-powered from the conversion of ambient mechanical vibration energy into electrical energy through a piezoelectric transducer implemented with lead-free lithium niobate piezoelectric material to also explore solutions that go towards a greener and more sustainable IoT. Instead of implementing any particular sensors, the vibration measurement system exploits the proportionality between the mechanical power generated by a piezoelectric transducer and the time taken to store it as electrical energy in a capacitor. This helps reduce the component count with respect to conventional WSNs, as well as energy consumption and production costs, while optimizing the overall node size and weight. The readout is therefore a function of the time it takes for the energy storage capacitor to charge between two constant voltage levels. The result of this work is a system that includes a specially designed lead-free piezoelectric vibrational transducer and a battery-less sensor platform with Bluetooth low energy (BLE) connectivity. The system can harvest energy in the acceleration range [0.5 g–1.2 g] and measure vibrations with a limit of detection (LoD) of 0.6 g.
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Loss, Theresa, and Alexander Bergmann. "Vibration-Based Fingerprint Algorithm for Structural Health Monitoring of Wind Turbine Blades." Applied Sciences 11, no. 9 (May 10, 2021): 4294. http://dx.doi.org/10.3390/app11094294.

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Monitoring the structural health of wind turbine blades is essential to increase energy capture and operational safety of turbines, and therewith enhance competitiveness of wind energy. With the current trends of designing blades ever longer, detailed knowledge of the vibrational characteristics at any point along the blade is desirable. In our approach, we monitor vibrations during operation of the turbine by wirelessly measuring accelerations on the outside of the blades. We propose an algorithm to extract so-called vibration-based fingerprints from those measurements, i.e., dominant vibrations such as eigenfrequencies and narrow-band noise. These fingerprints can then be used for subsequent analysis and visualisation, e.g., for comparing fingerprints across several sensor positions and for identifying vibrations as global or local properties. In this study, data were collected by sensors on two test turbines and fingerprints were successfully extracted for vibrations with both low and high operational variability. An analysis of sensors on the same blade indicates that fingerprints deviate for positions at large radial distance or at different blade sides and, hence, an evaluation with larger datasets of sensors at different positions is promising. In addition, the results show that distributed measurements on the blades are needed to gain a detailed understanding of blade vibrations and thereby reduce loads, increase energy harvesting and improve future blade design. In doing so, our method provides a tool for analysing vibrations with relation to environmental and operational variability in a comprehensive manner.
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Kajita, Masatoshi. "Non-destructive Monitoring of Molecular Vibrational Transitions." Journal of the Physical Society of Japan 87, no. 7 (July 15, 2018): 074301. http://dx.doi.org/10.7566/jpsj.87.074301.

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Brown, Sandra E., Andreas W. Götz, Xiaolu Cheng, Ryan P. Steele, Vladimir A. Mandelshtam, and Francesco Paesani. "Monitoring Water Clusters “Melt” Through Vibrational Spectroscopy." Journal of the American Chemical Society 139, no. 20 (May 12, 2017): 7082–88. http://dx.doi.org/10.1021/jacs.7b03143.

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Dissertations / Theses on the topic "Vibrational Monitoring"

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Coronado, Higuero Marcelo. "Biodiesel quality monitoring using vibrational spectroscopy." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/13799.

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Doctor of Philosophy
Department of Biological and Agricultural Engineering
Wenqiao Yuan
Biodiesel production and utilization has been increasing rapidly worldwide in recent years. A main challenge in the commercialization and public acceptance of biodiesel is its quality control. This work reports the use of infrared spectroscopy to monitor biodiesel quality through the development of models to predict (1) the blending level of biodiesel in biodiesel-diesel mixtures, (2) the fatty acid profile of biodiesel fuels derived from various lipids, and (3) the concentration of most common impurities present in biodiesel including water, glycerol, methanol and triglycerides. Regressions based on near-infrared (NIR) spectroscopy were developed for relatively inexpensive and rapid on-line measurement of the concentration and specific gravity of biodiesel-diesel blends. Methyl esters of five different oils—soybean oil, canola oil, palm oil, waste cooking oil, and coconut oil—and two different brands of commercial-grade No. 2 on-highway diesel and one brand of off-road No. 2 diesel were used in the calibration and validation processes. The predicted concentration and specific gravity of the biodiesel-diesel blends were compared with the actual values. The maximum and average root-mean-square errors of prediction (RMSEP) of biodiesel concentration were 5.2% and 2.9%, respectively, from the biodiesel type-specific regression. For the general regression, the RMSEP were 3.2% and 0.002 for biodiesel concentration and specific gravity predictions, respectively. Five different models were developed to determine the concentration of methyl palmitate (C16:0), methyl stearate (C18:0), methyl oleate (C18:1), methyl linoleate (C18:2), and methyl linolenate (18:3) present in biodiesel. Using the NIR range a set of models based on four different types of biodiesel was developed. The maximum RMSEP was 0.553% when the models were validated with biodiesel samples that were used in the calibration, however, prediction accuracy of the model under external samples was poor, therefore, a new set of models was proposed. For this case, six different types of biodiesel were used. The models developed for C18:1, C18:2 and C18:3 presented good accuracy on prediction. However, for C16:0 and C18:0, additional work was necessary to reach reasonable accuracy in prediction. Three sub models for specific ranges of concentration (low, medium, and high) were developed. The RMSEP was reduced from 2.98% to 1.51% for the C16:0 and from 2.33% to 0.56% for C18:0, when the sub-models were validated under internal and external samples. Similar procedures were followed to develop regression models based on mid infrared (MIR) spectra. The RMSEP for C16:0, C18:0, C18:1, C18:2, and C18:3 were 0.83%, 0.37%, 1.45%, 1.59%, and 0.84%, respectively. Predictions using MIR spectroscopy models were better than those obtained with NIR spectroscopy models for the C16:0 and C18:0 models. The most common impurities present in biodiesel from production processes, including methanol, free glycerol, triglycerides, and water, were determined by infrared methods using NIR and MIR spectra and partial least square regression (PLSR) methods. The models were developed in two different approaches, one was when a single impurity was present and the other was when all impurities were present. In the single impurity models, the maximum RMSEP obtained in the NIR and MIR models were 647 mg kg[superscript]-1 and 206 mg kg[superscript]-1, respectively. The models for methanol, glycerol, and water performed better using the NIR data. For the triglycerides model, MIR worked better. Only NIR data were used to develop the models for samples with all impurities. Data pre-treatment (Savitzky-Golay second derivative) was necessary to achieve reasonable accuracy in the predictions in this type of models. The maximum RMSEP was 932 mg kg[superscript]-1 presented in the model for triglycerides. The best performance was obtained in the model developed to predict methanol concentration in biodiesel with RMSEP of 177 mg kg[superscript]-1 when all listed impurities were presented. The feasibility of using NIR and MIR spectroscopy to monitor biodiesel quality was demonstrated in this work. The developed method was accurate, rapid, convenient, yet inexpensive to determine some important characteristics of biodiesel, such as biodiesel blending level in biodiesel-diesel mixtures, the fatty acid profile of biodiesel, and impurities present in the fuel.
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Wells, Ian. "Flow injection, vibrational spectroscopy and multivariate calibration techniques for on-line process monitoring." Thesis, University of Plymouth, 1996. http://hdl.handle.net/10026.1/1877.

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The fundamental concepts of process analytical chemistry are presented in Chapter One, which also discusses the different approaches and advantages of performing process analysis in-situ. The principles and instrumentation of flow injection analysis are presented with particular emphasis on multi-detemiinations and process applications. Flow injection analysis with Fourier transform infrared detection is proposed as a potential on-line monitoring technique highlighting its ability for simultaneous multi-analyte determinations. The principles of chemometric data analysis are summarised in Chapter Two along with the systematic approach to data analysts used in this thesis. Algorithms for experimental design, data pre-processing, exploratory data analysis (RCA) and multivariate calibration (PGR and PLS1) are described. Chapter Three describes the development and optimisation of an automated flow injection manifold coupled with a Fourier transform infrared detector for the determination of toluene, ethyl benzene and o-xylene in an n-hexane matrix by univariate calibration. In addition, Fourier transform infrared spectra are acquired of experimentally designed synthetic mixtures of the above analytes using the automated Fl manifold, and the multivariate calibration algorithms PGR, PLS1 and PLS2 are employed to quantify individual species. A critical evaluation of spectral preprocessing algorithms is reported. The following chapter describes the development of an automated internally coupled valve flow injection manifold, with Fourier transform infrared detection, for the determination of sucrose in aqueous matrices. Chapter Four describes the optimisation of the data acquisition system and reports on the critical comparison of univariate and multivariate calibration approaches, and results are presented for the determination of sucrose in commercially available fruit juices. The on-line monitoring of the synthesis of sodium glycinate in water using Fourier transform detection is described in Chapter Five. Fourier transform infrared spectral analysis of the reaction using continuous flow analysis with real time Gram Schmidt data analysis is compared to the results acquired via an automated flow injection manifold. The use of a simplex designed calibration set to mimic spectral changes in the reaction mixture to facilitate multivariate calibration is also presented. Chapter Six compares the analytical performance of a thermostabilised attenuated total reflectance flow cell with a water cooled mid-infrared fibre optic probe. Univariate and multivariate calibration algorithms are used to process reaction data sets along with gas chromatographic reference data. A detailed discussion of proposed approaches to reduce analysis time and increase information in reaction development programs is presented. The thesis concludes with an investigation of the quantitative nature of Raman spectroscopy. Experimentally designed calibration sets containing aqueous herbicide formulation samples are analysed in glass vials, with a critical evaluation of long term instrumental stability measured in terms of reproducibility and repeatability. The effects of pre-processing Raman spectral data sets, in the absence of sample matrix signals, using nonmalisation and multiple scatter correction are discussed.
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Ribeiro, Marcos Pellegrini. "Inaccessible equipment monitoring via vibratory signature analysis utilising data collected by remote accelerometers." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313689.

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Guo, Changning Nafie Laurence A. Freedman Teresa B. "Enantiomeric excess determination and reaction monitoring of chiral molecules using near-infrared and mid-infrared vibrational circular dichroism." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2004. http://wwwlib.umi.com/cr/syr/main.

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VALENTE, VANESSA SOUZA BREDER. "PHYSICOCHEMICAL CHARACTERIZATION OF COMMERCIAL BIODIESEL/DIESEL BLENDS AND POTENTIALITY EVALUATION OF UNCONVENTIONAL SPECTROSCOPIC VIBRATIONAL TECHNIQUES IN MONITORING THEIR OXIDATION AND HYDROLYSIS DURING STORAGE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29804@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Uma série de ensaios físico-químicos realizados em misturas comerciais Bx (0 por cento, 7 por cento, 20 por cento, e 100 por cento de biodiesel soja/sebo) em óleo diesel S10 e S500, bem como o desempenho de duas técnicas rápidas e ainda pouco exploradas, denominadas, espectroscopia FTIR-HATR e Raman, foram utilizadas para avaliar a estabilidade oxidativa e a hidrólise destas misturas. A adição de biodiesel ao diesel afeta negativamente a resistência ao envelhecimento das misturas resultantes. Misturas S500 são mais ácidas do que misturas S10, em concordância com o teor de água mais elevado da primeira. Testes de estabilidade oxidativa acelerada por Rancimat mostraram que os tempos de indução das amostras de B7 e B20 são maiores do que os de B100, independente do teor de enxofre do diesel. O uso prático de FTIR-HATR para caracterizar o estágio de degradação das misturas é condicionado pelo fato de existirem duas contribuições químicas para cada uma das bandas estudadas. Por outro lado, a espectroscopia Raman representa uma técnica espectroscópica muito adequada para detectar presença de insaturações das cadeias de ácidos graxos do biodiesel. Uma vez que as espectroscopias FTIR-HATR e Raman não necessitam de preparação de amostras, são técnicas rápidas e de baixo custo, e causam baixo impacto ao meio ambiente, mais atenção pode ser dada a elas.
A series of physicochemical studies performed on Brazilian commercial Bx (0 per cent, 7 per cent, 20 per cent, and 100 per cent soybean/tallow biodiesel) mixtures in S10 and S500 oil diesel, as well as the performance of two rapid and still underexplored techniques, namely, FTIR-HATR and Raman spectroscopies, to evaluate the hydrolysis and oxidative stability of these blends are reported. The addition of biodiesel to diesel affects negatively the aging resistance of the resulting blends. S500 blends are more acidic then S10 blends, in accordance with the higher water content of the former. Rancimat accelerated oxidative stability tests showed that the induction times of B7 and B20 samples are greater than that of B100, independent of the sulfur content of the diesel. The practical use of FTIR-HATR to characterize the mixtures degradation stage is conditioned by the fact that there are two chemical contributions for each of the studied bands. On the other hand, Raman spectroscopy represents a very suitable spectroscopic technique to detect the presence of unsaturations in the fatty acids chains of biodiesel. Since FTIR-HATR and Raman spectroscopies do not require sample preparation, are fast and quite low cost techniques, and cause low impact to the environment, further attention may be paid to them.
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Elbagerma, Mohamed A. "Analytical method development for structural studies of pharmaceutical and related materials in solution and solid state : an investigation of the solid forms and mechanisms of formation of cocrystal systems using vibrational spectroscopic and X-ray diffraction techniques." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4467.

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Analysis of the molecular speciation of organic compounds in solution is essential for the understanding of ionic complexation. The Raman spectroscopic technique was chosen for this purpose because it allows the identification of compounds in different states and it can give information about the molecular geometry from the analysis of the vibrational spectra. In this research the ionisation steps of relevant pharmaceutical material have been studied by means of potentiometry coupled with Raman spectroscopy; the protonation and deprotonation behaviour of the molecules were studied in different pH regions. The abundance of the different species in the Raman spectra of aqueous salicylic acid, paracetamol, citric acid and salicylaldoxime have been identified, characterised and confirmed by numerical treatment of the observed spectral data using a multiwavelength curve-fitting program. The non-destructive nature of the Raman spectroscopic technique and the success of the application of the multiwavelength curve-fitting program demonstrated in this work have offered a new dimension for the rapid identification and characterisation of pharmaceuticals in solution and have indicated the direction of further research. The work also covers the formation of novel cocrystal systems with pharmaceutically relevant materials. The existence of new cocrystals of salicylic acid-nicotinic acid, DLphenylalanine , 6-hydroxynicotinic acid, and 3,4-dihydroxybenzoic acid with oxalic acid have been identified from stoichiometric mixtures using combined techniques of Raman spectroscopy (dispersive and transmission TRS), X-ray powder diffraction and thermal analysis. Raman spectroscopy has been used to demonstrate a number of important aspects regarding the nature of the molecular interactions in the cocrystal. Cocrystals of salicylic acid - benzamide, citric acid-paracetamol and citric acid -benzamide have been identified with similar analytical approaches and structurally characterised in detail with single crystal X-ray diffraction. From these studies the high selectivity and direct micro sampling of Raman spectroscopy make it possible to identify spectral contributions from each chemical constituent by a peak wavenumber comparison of single-component spectra (API and guest individually) and the two- component sample material (API/guest), thus allowing a direct assessment of cocrystal formation to be made. Correlation of information from Raman spectra have been made to the X-ray diffraction and thermal analysis results. Transmission Raman Spectroscopy has been applied to the study cocrystals for the first time. Identification of new phases of analysis of the low wavenumber Raman bands is demonstrated to be a key advantage of the TRS technique.
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Scherer, Markus Josef. "VIBRATION HEALTH MONITORING OF GEARS." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/820.

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Monitoring the health of vibrating gears is important to ensure proper operation especially in potentially life-threatening structures, such as helicopters, nuclear power plants, and uninterruptible power supply transitions in hospitals. The most common monitoring technique is casing mounted accelerometers to measure vibration. In contrast, during the last few years acoustic monitoring techniques have also provided a few diagnostic methods for gear failure. Current diagnostic methods to indicate improper gear behavior use either existing vibration data, recorded from defective gear systems, or modern dynamic models predicting gear failure behavior. This thesis uses dynamic models to indicate, predict, and diagnose healthy and unhealthy gear systems. Influence of Tip Relief on contact forces are introduced for a decent understanding of gear dynamics followed by evaluation of common gear failure mechanisms. Two software systems were used to model gear failure: Adams®, a vibration based software that uses a rigid-elastic model for multi-body dynamics, and LSDYNA ®, a transient dynamic finite element solver, capable of solving acoustic problems with the boundary element method. Results describe tooth loads along the line of contact with respect to different Tip Reliefs and contact ratios. Gear failure is examined using a Fast Fourier Transformation to characterize patterns that can be used to diagnose unhealthy gear systems. Agreement of experimental results validates theoretical predictions of analytical and numerical solutions of gear failure especially of tooth breakage.
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Barbini, Leonardo. "Techniques for condition monitoring using cyclo-non-stationary signals." Thesis, University of Bath, 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761025.

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Condition based maintenance is becoming increasingly popular in many industrial contexts, offering substantial savings and minimising accidental damage. When applied to rotating machinery, its most common tool is vibration analysis, which relies on well-established mathematical models rooted in the theory of cyclo-non-stationary processes. However, the extraction of diagnostic information from the real world vibration signals is a delicate task requiring the application of sophisticated signal processing techniques, tailored for specific machines operating under restricted conditions. Such difficulty in the current state of the art of vibration analysis forces the industry to apply methods with reduced diagnostic capabilities but higher adaptability. However in doing so most of the potential of vibration analysis is lost and advanced techniques become of use only for academic endeavours. The aim of this document is to reduce the gap between industrial and academic applications of condition monitoring, offering ductile and automated tools which still show high detection capabilities. Three main lines of research are presented in this document. Firstly, the implementation of stochastic resonance in an electrical circuit to enhance directly the analog signal from an accelerometer, in order to lower the computational requirements in the next digital signal processing step. Secondly, the extension of already well-established digital signal processing techniques, cepstral prewhitening and spectral kurtosis, to a wider range of operating conditions, proving their effectiveness in the case of non-stationary speeds. Thirdly, the main contribution of the thesis: the introduction of two novel techniques capable of separating the vibrations of a defective component from the overall vibrations of the machine, by means of a threshold in the amplitude spectrum. After the separation, the cyclic content of the vibration signal is extracted and the thresholded signals provide an enhanced detection. The two proposed methods, phase editing and amplitude cyclic frequency decomposition, are both intuitive and of low computational complexity, but show the same capabilities as more sophisticated state of the art techniques. Furthermore, all these tools have been successfully tested on numerically simulated signals as well as on real vibration data from different machinery, lasting from laboratory test rigs to wind turbines drive-trains and aircraft engines. So in conclusion, the proposed techniques are a promising step toward the full exploitation of condition based maintenance in industrial contexts.
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Thörnevall, Per. "Analys av driftparametrars inverkan på maskinlivslängd : En studie utförd på pappersmaskin 2 vid BillerudKorsnäs AB i Karlsborg." Thesis, Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-62104.

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Increased competition in the capital-intensive paper industry makes optimized operation to an important part of corporate strategies to reduce them overall costs. Running the machines in a reliable way contributes to higher plant availability, which is particularly important in industries where the production rate is high and a break lead to costly production downtime. To achieve high plant availability, an effective maintenance of manufacturing equipment is required. This requires that the right action is taken at the right time. The purpose of this project was to increase understanding of how operation parameters for a paper machine affect the condition of the machine. The condition is assessed by studying the vibration levels using a condition monitoring system installed on the wire section rollers. The goal was to identify tools that can help operators to run the paper machine in a harmless and cost-effective way. The study was conducted by varying three parameters: wire speed, wire tension and vacuum in the suction boxes of the wire section. Wire speed and wire tension were varied for the flat wire and the upper wire. The vacuum was only varied for the flat wire. Each parameter was varied separately and the influence on the rolls vibration levels were analyzed. The range for the different operating parameters was determined in consultation with the operating personnel. There were no clear trends of how the operation parameters affect the machine condition. However, changes in vibration levels for single rolls were found. For the flat wire the changes in vibration levels were small except for a specific roll where the vibration level dropped drastically at increased speed, increased vacuum and higher tension. Even for the upper wire the changes in vibration levels were marginal except for a specific roll, which increased tension resulted in reduced vibration level, -from 2,74mm / s to 1.56 mm / s, which is a significant difference when the alarm limit of the machine is 2.5mm / s. This is an important discovery because the rollers can be seen as vital components in a series of linked systems and their operation is necessary for the paper machine to perform its required function. A conclusion is that relatively small adjustments of operation parameters affect vibration levels, which will have an effect on the component remaining life, and hence the system availability.
Ökad konkurrens inom den kapitalintensiva pappersindustrin gör att en optimerad drift blir en viktig del i företagens strategier för att minska dem totala kostnaderna. Att köra maskinerna på ett driftsäkert sätt bidrar till högre anläggningstillgänglighet, vilket är särskilt viktigt vid industrier där produktionstakten är hög och ett avbrott leder till kostsamma produktionsbortfall. För att uppnå hög anläggningstillgänglighet krävs också ett effektivt underhåll av tillverkningsutrustningen. Detta kräver att rätt åtgärder sätts in i rätt tid. Syftet med detta examensarbete var att öka förståelsen för hur olika driftparametrar för en pappersmaskin påverkar tillståndet för maskinen. Tillståndet bedömdes genom att studera vibrationsnivåer från ett lagerövervakningssystem installerat på virapartiets valsar. Målet var att hitta redskap som kan hjälpa operatörerna att köra pappersmaskinen på ett så skonsamt och kostnadseffektivt sätt som möjligt. Studien genomfördes genom att variera tre driftparametrar: virahastighet, viraspänning och undertryck i virapartiets suglådor. Virahastighet och viraspänning varierades för både planviran och överviran. Undertryck i virapartiets suglådor varierades endast för planviran. Varje parameter varierades separat och parametrarnas påverkan på valsarnas vibrationsnivåer analyserades. Intervallet för de olika driftparametrarna bestämdes i samråd med driftspersonalen. Sett för hela maskinen gick det inte att se några tydliga trender för hur driftparametrarna påverkade tillståndet för maskinen. Däremot kunde man se förändringar i vibrationsnivå för enstaka valsar. För planviran var ändringarna i vibrationsnivåerna marginella undantaget en specifik vals där vibrationsnivån sjönk drastiskt vid ökad hastighet, ökat vacuum samt ökad spänning. Även för överviran var ändringarna i vibrationsnivåer marginella utom för en specifik vals, där ökad spänning gav minskad vibrationsnivå, -från 2,74mm/s till 1,56 mm/s vilket är en betydande skillnad då larmgränsen från maskintillverkaren är 2,5mm/s. Detta är en viktig upptäckt eftersom valsarna kan ses som vitala komponenter i ett seriekopplat system och deras funktion är nödvändig för att pappersmaskinen skall kunna utföra krävd funktion. En slutsats är att det med ganska små justeringar i driftparametrar går att påverka vibrationsnivåerna, som i sin tur påverkar komponenternas livslängd och systemets tillgänglighet.
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Engelbrecht, André. "Structural integrity monitoring using vibration measurements." Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-07032006-122342/.

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Books on the topic "Vibrational Monitoring"

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Wenzel, Helmut, and Dieter Pichler. Ambient Vibration Monitoring. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470024577.

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Randall, Robert Bond. Vibration-based Condition Monitoring. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470977668.

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Dowding, C. H. Blast vibration monitoring and control. [s.l: s.n.], 1985.

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Blast vibration monitoring and control. Englewood Cliffs, NJ: Prentice-Hall, 1985.

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Vibratory condition monitoring of machines. Boca Raton, Fla: CRC Press, 2000.

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International Seminar on Environmental Vibration (Hangzhou, China 2003). Environmental vibration: Prediction, monitoring and evaluation. [China: Natural Science Foundation of China, 2003.

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Riera, Soraya. Proportional hazards modelling applied to vibration monitoring. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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Barszcz, Tomasz. Vibration-Based Condition Monitoring of Wind Turbines. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05971-2.

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Lamond, Rodney D. The assessment of blast damage using vibration monitoring. Sudbury, Ont: Laurentian University, School of Engineering, 1992.

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Guan, Hong. Vibration-based structural health monitoring of highway bridges. La Jolla, CA: Dept. of Structural Engineering, University of California, San Diego, 2008.

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Book chapters on the topic "Vibrational Monitoring"

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Tochev, Emil, Harald Pfifer, and Svetan Ratchev. "Indirect System Condition Monitoring Using Online Bayesian Changepoint Detection." In IFIP Advances in Information and Communication Technology, 81–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_6.

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AbstractThis paper presents a method for online vibration analysis and a simple test bench analogue for the solder pumping system in an industrial wave-soldering machine at a Siemens factory. A common machine fault is caused by solder build-up within the pipes of the machine. This leads to a pressure drop in the system, which is replicated in the test bench by restricting the flow of water using a gate valve. The pump’s vibrational response is recorded using an accelerometer. The captured data is passed through an online Bayesian Changepoint Detection algorithm, adapted from existing literature, to detect the point at which the change in flow rate affects the pump, and thus the PCB assembly capability of the machine. This information can be used to trigger machine maintenance operations, or to isolate the vibrational response indicative of the machine fault.
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Manarikkal, Imthiyas, Faris Elasha, Dina Shona Laila, and David Mba. "Dynamic Modelling of Planetary Gearboxes with Cracked Tooth Using Vibrational Analysis." In Applied Condition Monitoring, 240–49. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11220-2_25.

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Chenini, Idris, Charfeddine Mrad, and Rachid Nasri. "Theoretical and Experimental Analysis of the Vibrational Behavior of a Polyester Composite Material." In Applied Condition Monitoring, 235–45. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41459-1_23.

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Yang, Hailiu, Johnny Habchi, Sonia Longhi, and Casey H. Londergan. "Monitoring Structural Transitions in IDPs by Vibrational Spectroscopy of Cyanylated Cysteine." In Methods in Molecular Biology, 245–70. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-927-3_17.

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Bertoluzza, A., G. Bottura, P. Lucchi, L. Marchetti, and A. Zechini D’Aulerio. "Monitoring sound horsechestnut leaves affected with pathologies or physiopathies by vibrational spectroscopy." In Spectroscopy of Biological Molecules: New Directions, 467–68. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4479-7_210.

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Noda, M., and J. Hori. "CARS Application to Monitoring the Rotational and Vibrational Temperatures of Nitrogen in a Rapidly Expanding Supersonic Flow." In Springer Proceedings in Physics, 205–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77194-1_18.

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Barszcz, Tomasz. "Standard Vibration Analysis Methods." In Applied Condition Monitoring, 33–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05971-2_2.

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Volkovas, Vitalijus. "Adaptable Vibration Monitoring." In Springer Proceedings in Physics, 599–605. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2069-5_80.

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Kammoun, Nouha, Nabih Feki, Slim Bouaziz, Mounir Ben Amar, Mohamed Soula, and Mohamed Haddar. "Free Vibration of Sandwich Nanobeam." In Applied Condition Monitoring, 277–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76517-0_31.

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Mathew, Joseph. "Common vibration monitoring techniques." In Handbook of Condition Monitoring, 303–23. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4924-2_12.

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Conference papers on the topic "Vibrational Monitoring"

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Backman, Juha, and Antti Jarvinen. "Rechargeable battery condition monitoring using vibrational properties." In 2014 IEEE Symposium on Product Compliance Engineering (ISPCE). IEEE, 2014. http://dx.doi.org/10.1109/ispce.2014.6842000.

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CHIU, WING KONG, WERN HANN ONG, MATTHIAS RUSS, TIN TRAN, and MARK FITZGERALD. "Numerical Simulation of Vibrational Methods for the Healing Assessment of an Internally Fixated Femur." In Structural Health Monitoring 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/shm2017/14141.

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Nafie, Laurence A. "Instrumental techniques for infrared and Raman vibrational optical activity." In SPIE's 1992 Symposium on Process Control and Monitoring, edited by David S. Bomse, Harry Brittain, Stuart Farquharson, Jeremy M. Lerner, Alan J. Rein, Cary Sohl, Terry R. Todd, and Lois Weyer. SPIE, 1992. http://dx.doi.org/10.1117/12.137740.

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"Quantitative Monitoring of Osseointegrated Implant Stability Using Vibration Analysis." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-11.

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Abstract. Reliable and quantitative assessments for the stability of the osseointegrated prostheses are desirable and advantageous in ensuring the success of the installation and long-term performance. However, the common evaluation techniques are qualitative, where their accuracy of which relies on the surgeon’s experience. This computational study investigates the potential of using vibrational response to evaluate the stability of the osseointegrated implant using finite element simulation. This paper mainly focuses on the resonance frequency shift and mode shape changes associated with the degree of osseointegration which is simulated by varying bone-implant interface Young’s modulus. The resonance frequency of the specific torsional modes increases 211% and 155% for low-frequency (0 to 1800Hz) and high-frequency (1800 to 5000Hz) ranges respectively, as the simulated osseointegration process. Moreover, the torsional mode change from the implant to the femur-implant system is clearly evidenced. The findings highlight the potential application of vibration analysis on the assessment of implant stability.
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Diem, Max. "Instrumentation for the observation of circular dichroism in IR vibrational transitions." In SPIE's 1992 Symposium on Process Control and Monitoring, edited by David S. Bomse, Harry Brittain, Stuart Farquharson, Jeremy M. Lerner, Alan J. Rein, Cary Sohl, Terry R. Todd, and Lois Weyer. SPIE, 1992. http://dx.doi.org/10.1117/12.137761.

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Haase, Katharina, Niklas Müller, and Wolfgang Petrich. "Towards a continuous glucose monitoring system using tunable quantum cascade lasers." In Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry, edited by Anita Mahadevan-Jansen and Wolfgang Petrich. SPIE, 2018. http://dx.doi.org/10.1117/12.2291745.

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Betts, David N., H. Alicia Kim, Christopher R. Bowen, and Daniel J. Inman. "Optimization of piezoelectric bistable composite plates for broadband vibrational energy harvesting." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Henry A. Sodano. SPIE, 2012. http://dx.doi.org/10.1117/12.930138.

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Stegemann, D. "Monitoring and vibrational diagnostic of rotating machinery in power plants." In First IEE/IMechE International Conference on Power Station Maintenance - Profitability Through Reliability. IEE, 1998. http://dx.doi.org/10.1049/cp:19980059.

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Muscalu, George-Stelian, Nicolae Varachiu, Bogdan Firtat, Silviu Dinulescu, Adrian Tulbure, and Carmen Moldovan. "Vibrational energy harvesting devices for Structural Health Monitoring – Design optimization." In 2020 International Semiconductor Conference (CAS). IEEE, 2020. http://dx.doi.org/10.1109/cas50358.2020.9268030.

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Ariiso, Renya, Toshiyuki Ueno, Shota Kita, and Saiji Fukada. "Extra-large magnetostrictive vibrational power generator for bridge health monitoring." In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, edited by Daniele Zonta and Haiying Huang. SPIE, 2020. http://dx.doi.org/10.1117/12.2558946.

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Reports on the topic "Vibrational Monitoring"

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Jendrzejczyk, J. A., M. W. Wambsganss, and R. K. Smith. General vibration monitoring: Experimental hall. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/10191095.

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Martin E. Cobern. Downhole Vibration Monitoring & Control System. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/903219.

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Martin E. Cobern. Downhole Vibration Monitoring & Control System. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/890746.

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Martin E. Cobern. DOWNHOLE VIBRATION MONITORING & CONTROL SYSTEM. Office of Scientific and Technical Information (OSTI), September 2006. http://dx.doi.org/10.2172/894899.

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Martin E. Cobern. Downhole Vibration Monitoring & Control System. Office of Scientific and Technical Information (OSTI), December 2006. http://dx.doi.org/10.2172/897545.

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Martin E. Cobern. DOWNHOLE VIBRATION MONITORING & CONTROL SYSTEM. Office of Scientific and Technical Information (OSTI), May 2006. http://dx.doi.org/10.2172/883086.

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Martin E. Cobern. DOWNHOLE VIBRATION MONITORING & CONTROL SYSTEM. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/834331.

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Martin E. Cobern. DOWNHOLE VIBRATION MONITORING & CONTROL SYSTEM. Office of Scientific and Technical Information (OSTI), August 2004. http://dx.doi.org/10.2172/835135.

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Martin E. Cobern. DOWNHOLE VIBRATION MONITORING & CONTROL SYSTEM. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/835528.

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Martin E. Cobern. DOWNHOLE VIBRATION MONITORING & CONTROL SYSTEM. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/837016.

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