Relevant bibliographies by topics / Motor Current Signature Analysis

Contents

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

Academic literature on the topic 'Motor Current Signature Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 24 February 2023

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Journal articles on the topic "Motor Current Signature Analysis"

1

Nambia, Renjini E. "Motor Current Signature Analysis for Speed Estimation." Asian Journal of Electrical Sciences 8, S1 (June 5, 2019): 29–32. http://dx.doi.org/10.51983/ajes-2019.8.s1.2312.

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The induction motors are widely applied due to their low price and ruggedness. There are several methods for speed estimation in the literature. The optical tachometer is an expensive and less reliable method for the speed measurement. Hence sensor less method for speed estimation is an important topic of research. In this paper, speed estimation of induction motor using motor current signature analysis is done. The comparative study of different methods shows that the motor current signature analysis (MCSA) is more accurate in speed estimation. This technique is experimentally verified on a 5HP, 3.7kW, 1430rpm 415V, 50Hz, 7.5A, 3Ø squirrel cage induction motor using LabVIEW. The experimental and simulation results show that the overall speed estimation error is within 5 rpm.
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Syahputra, Ramadoni, Hedi Purwanto, Rama Okta Wiyagi, Muhamad Yusvin Mustar, and Indah Soesanti. "Analysis of Induction Motor Performance Using Motor Current Signature Analysis Technique." Journal of Electrical Technology UMY 5, no. 1 (July 21, 2021): PRESS. http://dx.doi.org/10.18196/jet.v5i1.11764.

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This paper discusses the analysis of the performance of an induction motor using the motor current signature analysis (MCSA) technique. Induction motor is a type of electric machine that is widely used in industry. One of the industries that utilize induction motors is a steam power plant (SPP). The role of induction motors is very vital in SPP operations. Therefore, it is necessary to monitor the performance, stability, and efficiency to anticipate disturbances that can cause damage or decrease the life of the induction motor. MCSA is a reliable technique that can be used to analyze damage to an induction motor. In this technique, the induction motor current signal is detected using a current transducer. The signal is then passed on to the signal conditioning and then into the data acquisition device. The important signal data is analyzed in adequate computer equipment. The results of this analysis determine the condition of the induction motor, whether it is normal or damaged. In this research, a case study was carried out at the Rembang steam power plant, Central Java, Indonesia. The results of the analysis of several induction motors show that most of them are in normal conditions and are still feasible to operate.
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Nikolić, Saša, and Radoš Ćalasan. "Motor Current Signature Analysis in Predictive Maintenance." Journal of Energy - Energija 67, no. 4 (June 2, 2018): 3–6. http://dx.doi.org/10.37798/201867462.

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The aim of this paper is to draw attention to the possibilities offered by spectral analysis of current and voltage in the predictive maintenance of the electric motor. Motor Circuit analysis (MCA) and Motor Current Signature analysis (MCSA) are innovative and non-invasive methods that enable diagnostics and assessment of the condition of the electric motor. The main advantage of the method is that the test is carried out during the normal motor operation, without downtime. All motor defects can be detected at the earliest stage. This enable planning the overhaul according to the condition which can make significant savings. Advanced MCSA analysers enable diagnostics of electric motors that are powered either via a soft starter, frequency inverter or directly from mains. So, it is possible in a simple and reliable way make an condition assessment of frequency inverters. In addition, it is possible to detect faults of driven machine, like misalignment, imbalance, blade faults, belts, bearings issues etc. Theoretical basis and tests that are carried out are explained in the paper.
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Garcia-Calva, Tomas A., Daniel Morinigo-Sotelo, Vanessa Fernandez-Cavero, Arturo Garcia-Perez, and Rene de J. Romero-Troncoso. "Early Detection of Broken Rotor Bars in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transients." Energies 14, no. 5 (March 8, 2021): 1469. http://dx.doi.org/10.3390/en14051469.

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The fault diagnosis of electrical machines during startup transients has received increasing attention regarding the possibility of detecting faults early. Induction motors are no exception, and motor current signature analysis has become one of the most popular techniques for determining the condition of various motor components. However, in the case of inverter powered systems, the condition of a motor is difficult to determine from the stator current because fault signatures could overlap with other signatures produced by the inverter, low-slip operation, load oscillations, and other non-stationary conditions. This paper presents a speed signature analysis methodology for a reliable broken rotor bar diagnosis in inverter-fed induction motors. The proposed fault detection is based on tracking the speed fault signature in the time-frequency domain. As a result, different fault severity levels and load oscillations can be identified. The promising results show that this technique can be a good complement to the classic analysis of current signature analysis and reveals a high potential to overcome some of its drawbacks.
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Kliman, G. B., and J. Stein. "Methods of Motor Current Signature Analysis." Electric Machines & Power Systems 20, no. 5 (September 1992): 463–74. http://dx.doi.org/10.1080/07313569208909609.

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Krishnan, Shashikumar, and Vijayakumar Vengadasalam. "Detecting industrial motor faults with current signatures." F1000Research 10 (September 8, 2021): 903. http://dx.doi.org/10.12688/f1000research.54266.1.

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Background: A major player in industry is the induction motor. The constant motion and mechanical nature of motors causes much wear and tear, creating a need for frequent maintenance such as changing contact brushes. Unmannered and infrequent monitoring of motors, as is common in the industry, can lead to overexertion and cause major faults. If a motor fault is detected earlier through the use of automated fault monitoring, it could prevent minor faults from developing into major faults, reducing the cost and down-time of production due the motor repairs. There are few available methods to detect three-phase motor faults. One method is to analyze average vibration signals values of V, I, pf, P, Q, S, THD and frequency. Others are to analyze instantaneous signal signatures of V and I frequencies, or V and I trajectory plotting a Lissajous curve. These methods need at least three sensors for current and three for voltage for a three-phase motor detection. Methods: Our proposed method of monitoring faults in three-phase industrial motors uses Hilbert Transform (HT) instantaneous current signature curve only, reducing the number of sensors required. Our system detects fault signatures accurately at any voltage or current levels, whether it is delta or star connected motors. This is due to our system design, which incorporates normalized curves of HT in the fault analysis database. We have conducted this experiment in our campus laboratory for two different three-phase motors with four different fault experiments. Results: The results shown in this paper are a comparison of two methods, the V and I Lissajous trajectory curve and our HT instantaneous current signature curve. Conclusion: We have chosen them as our benchmark as their fault results closely resemble our system results, but our system benefits such as universality and a cost reduction in sensors of 50%.
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Lv, Feng, Hao Sun, Wen Xia Du, and Shue Li. "Fault Signature Analysis Based on Transient Current for Induction Motors." Applied Mechanics and Materials 44-47 (December 2010): 1807–11. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.1807.

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The characteristics of broken rotor bars in induction motors are reflected in the abnormal harmonic of the stator current. At present, fast Fourier transform( ) and time-varying frequency spectrum analysis method are used in such fault diagnosis, but non-stationary motors operation can bring a certain difficulties to the monitoring and diagnosis. This paper studies the basic characteristics of wavelet transform, adopting the wavelet analysis technologies of signal processing and selecting mother wavelet, the paper makes the multi-scale transformation to the motor starting current, excavates the harmonic informations on non-stationary condition, realizes fault diagnosis of motor broken rotor bars effectively, The consistent diagnostic results prove the effectiveness of the method.
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Pires, V. Fernão, Manuel Kadivonga, J. F. Martins, and A. J. Pires. "Motor square current signature analysis for induction motor rotor diagnosis." Measurement 46, no. 2 (February 2013): 942–48. http://dx.doi.org/10.1016/j.measurement.2012.10.008.

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Miyoshi, Masahito, Makoto Kanemaru, Yuto Yasuhara, and Toshihiko Miyauchi. "Application and Amelioration of Motor Current Signature Analysis." IEEJ Transactions on Industry Applications 142, no. 2 (February 1, 2022): 119–24. http://dx.doi.org/10.1541/ieejias.142.119.

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Thomson, W. T., and M. Fenger. "Current signature analysis to detect induction motor faults." IEEE Industry Applications Magazine 7, no. 4 (2001): 26–34. http://dx.doi.org/10.1109/2943.930988.

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Dissertations / Theses on the topic "Motor Current Signature Analysis"

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Štěpanovský, Libor. "Vyhodnocení provozního stavu asynchronních motorů jaderné elektrárny Dukovany metodou frekvenční analýzy statorového proudu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442548.

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The masters thesis is concerned with the setting of limits and criteria, the design of database environment and the evaluation of the current state of motors of the important machines related to own consumption of the Nuclear power plant Dukovany. The first part of the thesis is a short description of induction motors, the evaluation method and the inventory of the observed motors related to own consumption of Nuclear power plant Dukovany. The second part of the thesis concerns the design of limits and criteria for evaluating the current state of these important motors. Finally, the thesis shows a short description of the electro monitoring system together with the description of the database environment created. In the supplementary materials of the thesis, there is a design of a protocol template for evaluation of the current state of the motor and a technical report template for regular evaluation in monitored areas MCSA (Motor Current Signature Analysis) of the state of the induction motors.
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Davari, Ardakani Hossein. "Prognostics and Health Management of Engineering Systems Using Minimal Sensing Techniques." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1467987980.

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Doan, Donald Scott. "Using Motor Electrical Signature Analysis to Determine the Mechanical Condition of Vane-Axial Fans." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3256/.

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The purpose of this research was a proof of concept using a fan motor stator as transducer to monitor motor rotor and attached axial fan for mechanical motion. The proof was to determine whether bearing faults and fan imbalances could be detected in vane-axial fans using Motor Electrical Signature Analysis (MESA). The data was statistically analyzed to determine if the MESA systems could distinguish between baseline conditions and discrete fault frequencies for the three test conditions: bearing inner race defect, bearing outer race defect, and fan imbalance. The statistical conclusions for these proofs of concept were that MESA could identify all three faulted conditions.
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Guldemir, Hanifi. "Prediction of induction motor line current spectra from design data." Thesis, University of Nottingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287180.

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Lippi, Silvio. "Analysis of rotor eddy-current losses in synchronous motors." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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La stima delle perdite rotoriche per correnti parassite (Eddy currents) è cruciale nella progettazione dei moderni motori SPM. Poichè le loro prestazioni dipendono fortemente da esse. I motori devo essere progettati in modo da prevenire eccessive perdite rotoriche, le quali possono portare alla demagnetizzazione dei magneti e ad un deterioramento delle performance generali della macchina. Nel capitolo 1 sono illustati i principi fisici che descrivono il comportamento dei motori elettrici e delle perdite rotoriche per correnti parassite. Sono poi discusse le proprietà dei materiali impiegati nell'ambito della costruzione di macchine elettriche ed infine sono presentate le tecniche al momento più diffuse per la stima delle correnti parassite. Dopo di che nel capitolo 2 è analizzato un modello semplificato di un SPM, in cui il rotore è sostituito con un cilindro solido. In particolare è stata investigata la dipendenza dalla resistività del materiale impiegato per il rotore. Una tecnica basata sul current sheet per la stima delle perdite rotoriche è presentata in dettaglio e implementata. Infine è riportata la validazione della procedura basata sul current sheet. Nel capitolo 3 l'analisi è estesa a un reale motore SPM, in particolare sono investigate le perdite nei magneti. Sono quindi illustrate le criticità di tale analisi e i limiti del modello. Per finire nel capitolo 4 sono riportati i risultati dei test effettuati, e sono discussi possibili futuri sviluppi del metodo illustrato.
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Gan, Jinyun, and 干金云. "Design, analysis and control of multiphase flux regulated permanent magnet brushless DC motor drives." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31245304.

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Whittaker, Lucy M. T. "Modelling and analysis of current and concept vehicles for the purpose of enhancing vehicle handling : executive summary." Thesis, University of Warwick, 2001. http://wrap.warwick.ac.uk/2902/.

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In this document, research into the modelling and analysis of current and concept vehicles for the purpose of enhancing vehicle handling is summarised. This work is recounted in detail in a portfolio of reports that has been submitted for the degree of Doctor of Engineering. The portfolio includes fifteen submissions, eleven of which are concerned with the analysis and simulation of drivers' steering behaviour. Two relate to a novel suspension concept. One addresses a current problem caused by suspension variability and one introduces a process for selecting between new suspension concepts. Each of these fifteen submissions is summarised in this document. In addition, the order in which it is recommended that these submissions be read is listed. In section 4, a project summary of the research into the analysis and simulation of drivers' steering behaviour is presented. Existing models of drivers' steering behaviour are reviewed. Vehicle tests that illustrate the different steering styles used by different drivers are recounted. A driver model that simulates the steering behaviour exhibited in these tests is formulated . Then, this driver model is used to develop a switching strategy for variable dampers. It is demonstrated that the switching strategy enhances vehicle handling and reduces the roll experienced by drivers during a handling manoeuvre. Finally, it is verified that this research complies with the requirement of the degree of Doctor of Engineering to demonstrate innovation in the application of knowledge to the engineering business environment. This is achieved by specifying eight examples of where new ideas and methods have been applied to address current issues within the automotive industry.
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Wu, Long. "Separating Load Torque Oscillation and Rotor Faults in Stator Current Based-Induction Motor Condition Monitoring." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14545.

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Stator current spectral analysis techniques are usually used to detect rotor faults in induction machines. Magnetic field anomalies in the airgap due to the rotor faults result in characteristic side-band harmonic components in the stator current spectrum, which can be measured as rotor fault signatures. A position-varying load torque oscillation at multiples of the rotational speed, however, has exactly the same effect. Stator current harmonics due to a load torque oscillation often obscure and even overwhelm rotor eccentricity fault detection since the magnitude of load oscillation induced harmonics is usually much larger. Although previous research has suggested some methods to differentiate between these two effects, most of them rely heavily on the accurate estimation of motor parameters. The objective of this research is to develop a far more practical and computationally efficient method to detect rotor faults effectively in the presence of a load torque oscillation. A significant advantage of the proposed scheme is that it does not need any knowledge of motor parameters. The normalized negative sequence information induced by a mixed rotor eccentricity in the stator current or terminal voltage space vector spectra, serves as a reliable rotor fault indicator to eliminate load oscillation effects. Detailed airgap magnetic field analysis for an eccentric motor is performed and all machine inductance matrices as well as their derivatives are reformulated accordingly. Careful observation of these inductance matrices provides a fundamental understanding of motor operation characteristics under a fault condition. Simulation results based on both induction motor dynamic model and Maxwell 2D Finite Element Model demonstrate clearly the existence of the predicted rotor fault indicator. Extensive experimental results also validate the effectiveness and feasibility of the proposed detection scheme.
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Blödt, Martin. "Condition Monitoring of Mechanical Faults in Variable Speed Induction Motor Drives. Application of Stator Current Time-Frequency Analysis and Parameter Estimation." Phd thesis, Toulouse, INPT, 2006. http://oatao.univ-toulouse.fr/7468/1/blodt.pdf.

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This Ph.D. thesis deals with condition monitoring of mechanical failures in variable speed induction motor drives by stator current analysis. Two effects of a mechanical fault are considered: load torque oscillations and airgap eccentricity. The analytical modelling using the magnetomotive force and permeance wave approach leads to two stator current models. The fault provokes amplitude or phase modulation of the fundamental current component. Suitable detection methods are spectral analysis and parameter estimation in steady state whereas time-frequency analysis is required during transients. Instantaneous frequency estimation, the Wigner Distribution and the spectrogram are studied. Simulation and experimental results validate the theoretical approach. Automatic extraction of fault indicators is proposed for an unsupervised monitoring system. Moreover, load torque oscillations and dynamic eccentricity can be discriminated with the proposed methods. The feasibility of an on-line monitoring system is demonstrated by a DSP implementation of the time-frequency analysis including indicator extraction.
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Rabbi, Ata-E. "Detection of stator interturn fault of synchronous machine by rotor current analysis : A SIMULATION APPROACH." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187654.

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One of the major electrical faults of synchronous machines is an interturn short circuit in the stator winding, due to winding insulation failure. A synchronous machine is designed to have electrical and mechanical symmetry in the stator and rotor. An interturn fault in a synchronous machine damages the symmetrical property, thereby inducing abnormal symptoms like varying torque, mechanical vibration, and deviation of stator and rotor terminal currents from their usual waveform. This last symptom is what is studied in this thesis, as an indicator of the presence of an interturn fault. An interturn fault during machine operation can lead to a catastrophic machine failure and consequent long outage, unless it is rapidly detected and the machine shut down. Prevention of such outages is an important concern for machine owners and power system operators. That is why early detection of interturn faults is desirable to prevent such machine failure. Several external sensors can be implemented to detect such interturn fault, which is costly. That is why it is desirable if the interturn fault can be detected by analyzing the measured currents that already are available to a protective relay. In this thesis a simulation approach is presented to observe the pattern and frequency spectrum of rotor field current in presence of a stator inter turn fault. All simulations have been performed using Matlab-based programs written during this thesis work in the Electromagnetic department (ETK) in KTH. The outcome of the thesis is that in the presence of an interturn fault in the stator, several even harmonic components are found in the frequency spectrum of the rotor field current. The presence of these harmonics is not a definitive sign of an interturn fault, as almost the same even harmonics are found in the rotor field current if the stator winding asymmetry is taken into account.
En av de största elektriska felen i synkronmaskiner är en kortslutning mellan varv i statorlindningen, på grund av skadad lindningsisolering. En synkronmaskins konstruktion ger elektrisk och mekanisk symmetri i statorn och rotorn vilket ger en hög effektivitet. Ett varvfel i statorn skadar symmetrin och inducerar onormalt stora strömmarvilket leder till ett tidsvarierande vridmoment, mekanisk vibration, och onormala vågformer av strömmarna vid statorns och rotorns poler. Varvfel under maskinens drift kan snabbt orsaka stora skador, med följd av långa avbrottstider. Förebyggande av sådana avbrott är viktig hos maskinägare och systemansvariga. Därför är snabb detektering av sådana fel, och urdrifttagning av maskinen önskvärd för att minska skadan. Däremot ska detekteringen ha låg sannolikhet att lösa ut i onödan, av annat skäl. Externa sensorer kan användas för att upptäcka sådana fel, men det är tydligt önskvärt om detekteringen kan göras genom att analysera strömmarna som redan mäts av skyddsreläer för synkronmaskiner. I denna avhandling presenteras en metod för att simulera och observera mönster och frekvensspektrum av rotors magnetiseringsström i fall där statorn har varvfel, samt i andra fall som måste kunna skiljas från varvfel. Alla simuleringar har utförts med Matlab hos avdelningen för Elektroteknisk teori och konstruktion (ETK) i Skolan för Elektro- och systemteknik (EES) på KTH.
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Books on the topic "Motor Current Signature Analysis"

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Thomson, William T., and Ian Culbert. Current Signature Analysis for Condition Monitoring of Cage Induction Motors. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119175476.

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Ellis, Werbow, and Business Trend Analysts Inc, eds. The Motor vehicle parts aftermarket: An analysis of current performance and future prospects : a business information report. Commack, N.Y. (2171 Jericho Turnpike, Commack 11725): Business Trend Analysts, 1991.

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Chattopadhyay, Surajit, Madhuchhanda Mitra, Samarjit Sengupta, and Subrata Karmakar. Induction Motor Fault Diagnosis: Approach through Current Signature Analysis. Springer, 2016.

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Chattopadhyay, Surajit, Madhuchhanda Mitra, Samarjit Sengupta, and Subrata Karmakar. Induction Motor Fault Diagnosis: Approach Through Current Signature Analysis. Springer London, Limited, 2016.

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Chattopadhyay, Surajit, Madhuchhanda Mitra, Samarjit Sengupta, and Subrata Karmakar. Induction Motor Fault Diagnosis: Approach through Current Signature Analysis. Springer, 2018.

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Culbert, Ian, and William T. Thomson. Current Signature Analysis for Condition Monitoring of Cage Induction Motors: Industrial Application and Case Histories. Wiley & Sons, Incorporated, John, 2016.

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Culbert, Ian, and William T. Thomson. Current Signature Analysis for Condition Monitoring of Cage Induction Motors: Industrial Application and Case Histories. Wiley & Sons, Incorporated, John, 2016.

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Culbert, Ian, and William T. Thomson. Current Signature Analysis for Condition Monitoring of Cage Induction Motors: Industrial Application and Case Histories. Wiley-Interscience, 2017.

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Culbert, Ian, and William T. Thomson. Current Signature Analysis for Condition Monitoring of Cage Induction Motors: Industrial Application and Case Histories. Wiley & Sons, Limited, John, 2017.

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Broussal-Derval, Aurélien, and Stéphane Ganneau. The Modern Art and Science of Mobility. Human Kinetics, 2020. http://dx.doi.org/10.5040/9781718214606.

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The Modern Art and Science of Mobility is a striking visual guide to releasing muscle tension and activating muscles for functional motion. It goes beyond traditional training methods that focus on performance and aesthetics and asks these simple questions: Are you truly reaping the full benefits of training if it does not include mobility exercises? Why are the vast majority of people, even the most athletic individuals, unable to perform basic motor tasks without pain or difficulty? Why are physically active people still dealing with lack of mobility and chronic injury? Whether you are a casual exerciser or an elite athlete, you will learn how to preserve and maintain your body with over 300 exercises designed to improve mobility, facilitate recovery, reduce pain, and activate muscles. Utilize the self-tests to assess your current level of mobility, and then choose from over 50 prescriptive training routines that can be used as is or customized to target specific functional chains. You’ll find exercise recommendations based on body region, activity, and primary goal, and you’ll learn to incorporate a variety of techniques and popular equipment, including resistance bands, foam rollers, massage balls, and stability balls. The Modern Art and Science of Mobility provides a stunning visual presentation with over 1,200 photos and 100 original illustrations by Stéphane Ganneau. His illustrations highlight the muscles with precision, and his avant-garde style and the harmony of colors give this book a unique graphic signature. Mobility is the foundation for training your best and feeling your best. The Modern Art and Science of Mobility will help you do just that by helping you to alleviate pain, improve posture, and release muscle tension for a more comfortable and enjoyable quality of life.
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Book chapters on the topic "Motor Current Signature Analysis"

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Thomson, William T. "Motor Current Signature Analysis for Induction Motors." In Current Signature Analysis for Condition Monitoring of Cage Induction Motors, 1–37. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119175476.ch1.

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Iraji, Maryam, Maryam Dehghani, Mohsen Mohammadi, Navid Vafamand, and Jalil Boudjadar. "Motor Current Signature Analysis Using Shapelet." In Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020, 23–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65796-3_3.

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Thomson, William T. "Motor Current Signature Analysis (MCSA) to Detect Cage Winding Defects." In Current Signature Analysis for Condition Monitoring of Cage Induction Motors, 79–118. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119175476.ch4.

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Verma, Alok, Pratul Arvind, Somnath Sarangi, Jayendra Kumar, and Anumeha. "Detection of Broken Rotor Bar Fault in an Induction Motor Employing Motor Current Signature Analysis." In Recent Advances in Power Electronics and Drives, 523–30. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9239-0_39.

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Sharma, Vivek, and Bhawana Negi. "Current Signature Analysis of Single-Phase ZSI-Fed Induction Motor Drive System." In Lecture Notes in Electrical Engineering, 333–38. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3589-7_37.

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Dahi, Khalid, Soumia Elhani, Said Guedira, and Nabil Ngote. "Fault Diagnosis in Induction Motor Using Motor’s Residual Stator Current Signature Analysis." In Lecture Notes in Mechanical Engineering, 631–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39348-8_54.

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Verma, Alok, Haja Kuthubudeen, Viswanathan Vaiyapuri, Sivakumar Nadarajan, Narasimalu Srikanth, and Amit Gupta. "Bearings Fault Diagnosis in Electromechanical System Using Transient Motor Current Signature Analysis." In Lecture Notes in Mechanical Engineering, 439–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9199-0_41.

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Lane, M., D. Ashari, F. Gu, and A. D. Ball. "Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive." In Mechanisms and Machine Science, 801–10. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09918-7_71.

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Thomson, William T. "MCSA to Estimate the Operational Airgap Eccentricity in Squirrel Cage Induction Motors." In Current Signature Analysis for Condition Monitoring of Cage Induction Motors, 273–98. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119175476.ch10.

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Thomson, William T. "Case Histories-Successful and Unsuccessful Application of MCSA to Estimate Operational Airgap Eccentricity in Scims." In Current Signature Analysis for Condition Monitoring of Cage Induction Motors, 299–357. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119175476.ch11.

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Conference papers on the topic "Motor Current Signature Analysis"

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Eren, Levent, and Michael J. Devaney. "Effect of current resampling in Motor Current Signature Analysis." In 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2013. http://dx.doi.org/10.1109/i2mtc.2013.6555437.

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Phumiphak, P., and C. Chat-uthai. "Induction motor speed measurement using motor current signature analysis technique." In 2009 International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2009. http://dx.doi.org/10.1109/icems.2009.5382862.

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Krishna, Merugu Siva Rama, and Kiran S. Ravi. "Fault diagnosis of induction motor using Motor Current Signature Analysis." In 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT). IEEE, 2013. http://dx.doi.org/10.1109/iccpct.2013.6528849.

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Ramya, D., Rani Basha, and M. L. Bharathi. "FAULT DIAGNOSIS OF INDUCTION MOTOR DRIVE USING MOTOR CURRENT SIGNATURE ANALYSIS." In Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India. EAI, 2021. http://dx.doi.org/10.4108/eai.16-5-2020.2304102.

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Lane, M., D. Ashari, F. Gu, and A. D. Ball. "Investigation of motor current signature analysis to detect motor resistance imbalances." In 2015 21st International Conference on Automation and Computing (ICAC). IEEE, 2015. http://dx.doi.org/10.1109/iconac.2015.7313945.

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Gheitasi, Alireza, Peter Wolfs, and Sanath Alahakoon. "Distributed Motor Current Signature Analysis in an IoT Environment." In 2019 29th Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2019. http://dx.doi.org/10.1109/aupec48547.2019.211811.

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Bonci, Andrea, Marina Indri, Renat Kermenov, Sauro Longhi, and Giacomo Nabissi. "Comparison of PMSMs Motor Current Signature Analysis and Motor Torque Analysis Under Transient Conditions." In 2021 IEEE 19th International Conference on Industrial Informatics (INDIN). IEEE, 2021. http://dx.doi.org/10.1109/indin45523.2021.9557553.

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Sakhalkar, Nilashri P., and Pragati Korde. "Fault detection in induction motors based on motor current signature analysis and accelerometer." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8390117.

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Lo, Ndeye Gueye, Abdenour Soualhi, Marouane Frini, and Hubert Razik. "Gear and bearings fault detection using motor current signature analysis." In 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2018. http://dx.doi.org/10.1109/iciea.2018.8397840.

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Gherabi, Zakaria, Noureddine Benouzza, Djilali Toumi, and Azeddine Bendiabdellah. "Eccentricity Fault diagnosis in PMSM using Motor Current Signature Analysis." In 2019 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2019 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, 2019. http://dx.doi.org/10.1109/acemp-optim44294.2019.9007164.

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Reports on the topic "Motor Current Signature Analysis"

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Castleberry, K. N. High-vibration detection using motor current signature analysis. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/366465.

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Castleberry, K. N. Instrumentation for motor-current signature analysis using synchronous sampling. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/273820.

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Blakeman, E. D., and R. C. Kryter. Noninvasive testing of solenoid-operated valves using transient current signature analysis. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/463637.

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Oh, Ju Sun, Yoo Jin Choo, and Min Cheol Chang. Effect of Selective Serotonin Reuptake Inhibitors on Motor Recovery After Stroke: A Systematic Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2022. http://dx.doi.org/10.37766/inplasy2022.6.0084.

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Review question / Objective: We conducted a meta-analysis to determine the effectiveness of SSRIs in improving motor outcomes after stroke. Condition being studied: Stroke is a major cause of disability, and motor weakness is one of the most disabling and common complications of stroke. It impairs patients’ ability to perform daily activities independently and deteriorates their quality of life. Selective serotonin reuptake inhibitors (SSRIs) have been reported to have a positive effect on motor recovery after stroke, as well as on the prevention or management of post-stroke depression. In contrast, some previous studies have revealed no positive therapeutic effects of SSRIs on motor recovery after stroke. In the current study, to accurately determine the effectiveness of SSRIs for improving motor outcomes after stroke, we only included studies in which SSRIs were administered to patients in the recovery phase after stroke (<6 months after stroke onset).
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Li, Ruo-wei, Yuan Xia, Yong-jie Li, Yue Lu, and Sheng Hu. Efficacy evaluation of different stimulation types with transcranial direct current stimulation on upper limb motor function and activities of daily living in patients after stroke: A network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2020. http://dx.doi.org/10.37766/inplasy2020.12.0021.

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Revill, James, Alisha Anand, and Giacomo Persi Paoli. Exploring Science and Technology Review Mechanisms Under the Biological Weapons Convention. The United Nations Institute for Disarmament Research, June 2021. http://dx.doi.org/10.37559/sectec/2021/sandtreviews/01.

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Since the Biological Weapons Convention (BWC) opened for signature in 1972, biology and other converging disciplines have advanced considerably. These changes could have profound implications for a science-based disarmament agreement like the BWC. To address changes in biology and biotechnology, BWC States Parties have established processes to review developments in science and technology (S&T), including annual expert meetings on this topic. However, shortcomings are evident in the current approaches and many BWC States Parties have expressed support for a more systematic review of science and technology under the Convention. This study seeks to inform discussions on establishing a dedicated and systematic S&T review process under the BWC through an examination of existing S&T review-type mechanisms employed in different regimes beyond the BWC, a survey of States Parties views on a possible review mechanism and a study of past and present discourse on this issue in the BWC. Based on the analysis conducted, this study also presents options for BWC States Parties to consider ahead of the Ninth BWC Review Conference.
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Williams, Michael, Marcial Lamera, Aleksander Bauranov, Carole Voulgaris, and Anurag Pande. Safety Considerations for All Road Users on Edge Lane Roads. Mineta Transportation Institute, March 2021. http://dx.doi.org/10.31979/mti.2021.1925.

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Edge lane roads (ELRs), also known as advisory bike lanes or advisory shoulders, are a type of shared street where two-way motor vehicle (MV) traffic shares a single center lane, and edge lanes on either side are preferentially reserved for vulnerable road users (VRUs). This work comprises a literature review, an investigation of ELRs’ operational characteristics and potential road user interactions via simulation, and a study of crash data from existing American and Australian ELRs. The simulation evaluated the impact of various factors (e.g., speed, volume, directional split, etc.) on ELR operation. Results lay the foundation for a siting criterion. Current American siting guidance relies only upon daily traffic volume and speed—an approach that inaccurately models an ELR’s safety. To evaluate the safety of existing ELRs, crash data were collected from ELR installations in the US and Australia. For US installations, Empirical Bayes (EB) analysis resulted in an aggregate CMF of .56 for 11 installations observed over 8 years while serving more than 60 million vehicle trips. The data from the Australian State of Queensland involved rural one-lane, low-volume, higher-speed roads, functionally equivalent to ELRs. As motor vehicle volume grows, these roads are widened to two-lane facilities. While the authors observed low mean crash rates on the one-lane roads, analysis of recently converted (from one-lane to two-lane) facilities showed that several experienced fewer crashes than expected after conversion to two-lane roads.
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