Detection of stator winding fault in induction motor using instantaneous power signature analysis
Ahmet Kucuker,Mehmet Bayrak +1 more
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TLDR
The instantaneous power signature analysis technique is used to detect interturn interturn faults, and experimental results for healthy and faulty motors are shown and discussed.Abstract:
Stator interturn faults are one of the most common faults occurring in induction motors. Early detection of interturn short circuit is important to reduce repair costs. Axial leakage monitoring, zero-sequence components, negative sequence current, and motor current signature analysis have been used for fault detection in early states. In the paper, the instantaneous power signature analysis technique is used to detect these faults, and experimental results for healthy and faulty motors are shown and discussed.read more
Citations
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Proceedings ArticleDOI
A Review of Condition Monitoring and Fault Diagnosis Methods for Induction Motor
TL;DR: Review of state of the art techniques for condition monitoring, evolving techniques and recent advancements are discussed along with some case studies.
Journal ArticleDOI
A brief review of condition monitoring techniques for the induction motor
TL;DR: A state-of-the-art review of condition monitoring techniques for the induction motor with real-time measurement accuracy and efficiency is presented.
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A Review of Fault Diagnosis for Traction Induction Motor
TL;DR: A birds eye view on different types of traction induction faults and their diagnostics schemes is presented.
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A neural network approach to detect winding faults in electrical machine
Journal ArticleDOI
Early Diagnosis of Induction Machine Stator Winding Faults by Discrete Wavelet Transform
TL;DR: In this article, a Discrete Wavelet Transform (DWT) based diagnosis technique that analyses stator currents of induction machine under healthy and faulty conditions is presented. But, it is not suitable for the case of high power induction machines.
References
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Journal ArticleDOI
Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors
TL;DR: A review of existing techniques available for online stator interturn fault detection and diagnosis (FDD) in electrical machines, with special attention to short-circuit-fault diagnosis in permanent-magnet machines, which are fast replacing traditional machines in a wide variety of applications.
Journal ArticleDOI
A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems
TL;DR: An in-depth literature review of testing and monitoring methods that diagnose the condition of the turn-to-turn insulation of low-voltage machines, which is a rapidly expanding area for both research and product development efforts.
Journal ArticleDOI
Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's Vector approach
TL;DR: In this article, a noninvasive approach, based on the computer-aided monitoring of the stator current Park's vector, is introduced for detecting inter-turn stator winding faults in operating three-phase induction machines.
Journal Article
Report of large motor reliability survey of industrial and commercial installations. III
TL;DR: The results presented here of the 1982 survey are to investigate the data further to address questions generated by the results of the earlier paper, to find additional correlations of the reliability criteria of some of the more interesting categories, and to bring out more results and categories available from the survey data.
Proceedings ArticleDOI
Instantaneous stator power as a medium for the signature analysis of induction motors
TL;DR: In this paper, the instantaneous stator power was used as a medium for motor signature analysis, and it was shown that the instantaneous power carries more information than the current itself, since not only the current magnitude but also the phase shift between the current and voltage waveforms are affected by irregularities in the motor or other parts of the drive system.
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