Proceedings ArticleDOI
Detection of stator winding fault in induction motors using a motor square current signature analysis (MSCSA)
V. Fernao Pires,Daniel Foito,João Martins,A. J. Pires +3 more
- pp 507-512
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TLDR
The motor square current signature analysis (MSCSA) is proposed, which uses the results of spectral analysis of the instantaneous square stator current to analyse the short-circuit fault inter-turn on an induction motor.Abstract:
In this paper the short-circuit fault inter-turn on the stator of an induction motor is analysed by an online diagnostic method. For the diagnostic method it is proposed the motor square current signature analysis (MSCSA). This method uses the results of spectral analysis of the instantaneous square stator current. The effects of stator square current spectrum are described and the related frequencies determined. This method is similar to the instantaneous power signature analysis, however has the advantage of just require one current sensor. Several simulation and experimental results are presented in order to illustrate the characteristics of the proposed method.read more
Citations
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Journal ArticleDOI
Condition Monitoring and Fault Diagnosis of Induction Motors: A Review
TL;DR: This paper presents the state of the art review describing different type of IM faults and their diagnostic schemes, and several monitoring techniques available for fault diagnosis of IM have been identified and represented.
Journal ArticleDOI
Condition Monitoring and Fault Diagnosis of Induction Motor
TL;DR: It is observed that the vibration-based techniques are reported to be effective for the identification of mechanical faults while motor current signature analysis is effective for electrical fault in an induction motor.
Proceedings ArticleDOI
Stator winding short-circuit fault diagnosis in induction motors using random forest
TL;DR: In this article, an approach to detect stator winding short-circuit faults in squirrel-cage induction motors based on Random Forest and Park's Vector is proposed, which is accomplished by scoring the unbalance in the current and voltage waveforms as well as in Park's vector, both for current and Voltage.
Proceedings ArticleDOI
Detection of inter-turn stator faults in induction motors using short term averaging of forwards and backwards rotating stator current phasors for fast prognostics
TL;DR: There are several methods for detecting shorted turns in the stators of induction motors and some of them are simple, straightforward and efficient.
Detection of Induction Machine Winding Faults Using Genetic Algorithm
TL;DR: In this article, an identification technique for fault detection of induction machines using genetic algorithm is investigated, which indicates the presence of a winding fault and provides information about its nature and location.
References
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Journal Article
Comparison of induction motor diagnostic methods based on spectra analysis of current and instantaneous power signals
TL;DR: In this paper, a comparison of effectiveness of induction motors fault detection methods based on experimental results analysis is presented, showing possible disadvantages of the current spectra analysis method and advantages of the method based on phase power and total three-phase instantaneous power spectra analyses.
Detection of Induction Machine Winding Faults Using Genetic Algorithm
TL;DR: In this article, an identification technique for fault detection of induction machines using genetic algorithm is investigated, which indicates the presence of a winding fault and provides information about its nature and location.
Proceedings ArticleDOI
Detection of induction machine winding faults using genetic algorithm
TL;DR: In this article, an identification technique for fault detection of induction machines using genetic algorithm is investigated, which indicates the presence of a winding fault and provides information about its nature and location.
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