The Diagnostics of Induction Motor Broken Rotor Bars on the Basis of the Electromotive Force Analysis PDF Download
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Author: Mykhaylo V. Zagirnyak
Publisher:
ISBN: 9781536126846
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages : 205
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Book Description
Author: Mykhaylo V. Zagirnyak
Publisher:
ISBN: 9781536126846
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages : 205
Get Book Here
Book Description
Author: Shuo Chen
Publisher:
ISBN:
Category : Electric machinery, Induction
Languages : en
Pages : 107
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Book Description
"On-line induction machine condition monitoring techniques have been used widely in the detection of motor broken rotor bars for decades. Research has found that when broken bars occur in the machine rotor, the anomaly of electromagnetic field in the air gap will cause two sideband frequency components presenting in the stator current spectrum. Therefore, identification of these sideband frequencies can be used as a convenient and reliable approach to broken rotor bar fault diagnosis. In this thesis, an induction machine model that includes broken rotor bars is developed using Matlab/Simulink and verified by comparing the experimental and the simulated results. The Prony Analysis method for broken bar diagnosis is implemented and tested using both simulated and measured stator current data. Comparisons between PA [Prony Analysis] and DFT [Discrete Fourier Transform] results are presented, clearly indicating improvements of broken bar diagnostics using PA." -- from Abstract.
Author: Kenneth Ikponmwosa Edomwandekhoe
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Due to vast industrial applications, induction motors are often referred to as the "workhorse" of the industry. To detect incipient faults and improve reliability, condition monitoring and fault diagnosis of induction motors are very important. In this thesis, the focus is to model and detect broken rotor bar (BRB) faults in induction motors through the finite element analysis and machine learning approach. The most successfully deployed method for the BRB fault detection is Motor Current Signature Analysis (MSCA) due to its non-invasive, easy to implement, lower cost, reliable and effective nature. However, MSCA has its own limitations. To overcome such limitations, fault diagnosis using machine learning attracts more research interests lately. Feature selection is an important part of machine learning techniques. The main contributions of the thesis include: 1) model a healthy motor and a motor with different number of BRBs using finite element analysis software ANSYS; 2) analyze BRB faults of induction motors using various spectral analysis algorithms (parametric and non-parametric) by processing stator current signals obtained from the finite element analysis; 3) conduct feature selection and classification of BRB faults using support vector machine (SVM) and artificial neural network (ANN); 4) analyze neighbouring and spaced BRB faults using Burg and Welch PSD analysis.
Author: Subrata Karmakar
Publisher: Springer
ISBN: 9811006245
Category : Technology & Engineering
Languages : en
Pages : 182
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Book Description
This book covers the diagnosis and assessment of the various faults which can occur in a three phase induction motor, namely rotor broken-bar faults, rotor-mass unbalance faults, stator winding faults, single phasing faults and crawling. Following a brief introduction, the second chapter describes the construction and operation of an induction motor, then reviews the range of known motor faults, some existing techniques for fault analysis, and some useful signal processing techniques. It includes an extensive literature survey to establish the research trends in induction motor fault analysis. Chapters three to seven describe the assessment of each of the five primary fault types. In the third chapter the rotor broken-bar fault is discussed and then two methods of diagnosis are described; (i) diagnosis of the fault through Radar analysis of stator current Concordia and (ii) diagnosis through envelope analysis of motor startup current using Hilbert and Wavelet Transforms. In chapter four, rotor-mass unbalance faults are assessed, and diagnosis of both transient and steady state stator current has been analyzed using different techniques. If both rotor broken-bar and rotor-mass unbalance faults occur simultaneously then for identification an algorithm is provided in this chapter. Chapter five considers stator winding faults and five different analysis techniques, chapter six covers diagnosis of single phasing faults, and chapter seven describes crawling and its diagnosis. Finally, chapter eight focuses on fault assessment, and presents a summary of the book together with a discussion of prospects for future research on fault diagnosis.
Author: Hussain Mahdi
Publisher: GRIN Verlag
ISBN: 3668273855
Category : Technology & Engineering
Languages : en
Pages : 84
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Book Description
Thesis (M.A.) from the year 2013 in the subject Electrotechnology, Warsaw University of Technology (Electrical Engineering), language: English, abstract: 3-Phase induction motors are widely used as a source of mechanical power for effective operation and low costs. The abnormalities have to be detected in advance to avoid the motor breakdown and the cost associated restrain of plant production. This work discusses current and flux leakage spectral analysis techniques for the diagnosis of broken rotor bars and shortcircuited turns in induction motor fed from different AC sources. In spite of recent development of various types of models toward motor faults diagnosis and examining different problems associated with 3-phase induction motors the signal spectral analysis is considered as one of most important approaches. Most of the models from simple equivalent circuit to more complex d-q and a-b-c models and lastly developed hybrid models are provided for the integration of different forms of current and/or voltage unbalance. Generally, techniques that relate to asymmetry identify asymmetrical motor faults. Frequency converters in many applications feed induction motors. Such applications, which play a major role in industry, are growing at a high rate, allow to use 3-phase induction motor as variable speed applications. This paper proposes application of spectral signature analysis for the detection and diagnosis of abnormal electrical and mechanical conditions, which indicates chosen faults in induction motor fed by frequency converter.
Author: Takeo Ishikawa
Publisher:
ISBN:
Category : Science
Languages : en
Pages :
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Book Description
This chapter investigates the diagnosis of not only broken bar but also broken end ring faults in an induction motor. The difference between the broken bars and broken end ring segments is experimentally clarified by the Fourier analysis of the stator current. This difference is verified by two-dimensional finite element (FE) analysis that takes into consideration the voltage equation and the end ring. The electromagnetic field in the undamaged motor and the motor with broken bars and broken end ring segments is analyzed. The effect of the number of broken bars and broken end ring segments on the motor performance is clarified. Moreover, transient response is analyzed by the wavelet analysis.
Author: Mark S. Welsh
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 222
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Book Description
Broken rotor bars are a common cause of induction motor failures. In the past, the detection of broken rotor bars has primarily been limited to non-operating, and typically, disassembled machines. The ability to detect broken rotor bars while the machine is operating at normal speed and load is desirable. In support of the ongoing development of a failure analysis system for electrical machines, this thesis evaluates the method of using stator currents and voltages to detect the presence of broken rotor bars in squirrel-cage induction motors. The hypothesis of this method is that, given a sinusoidally applied voltage, the presence of certain harmonics in the stator currents could be used to detect the presence of broken rotor bars. Theses. (MJM).
Author: Gennadi Y. Sizov
Publisher:
ISBN:
Category : Electric machinery, Induction
Languages : en
Pages : 244
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Book Description
Author: Jawad Faiz
Publisher: IET
ISBN: 1785613286
Category : Business & Economics
Languages : en
Pages : 535
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Book Description
This book is a comprehensive, structural approach to fault diagnosis strategy. The different fault types, signal processing techniques, and loss characterisation are addressed in the book. This is essential reading for work with induction motors for transportation and energy.
Author: Mohammad Rezazadeh Mehrjou
Publisher:
ISBN:
Category : Electric motors, Induction
Languages : en
Pages : 266
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Book Description
