Proceedings ArticleDOI
Location of Defective Bearing in Three-Phase Induction Motor Using Stockwell Transform and Support Vector Machine
Megha Singh,Abdul Gafoor Shaik +1 more
- Vol. 2018, pp 1-5
TLDR
This paper presents a technique to locate defective bearing based on Stockwell Transform of stator current signals and has been tested successfully for the bearing faults such as ball and outerrace fault.Abstract:
The rotor shaft of a three-phase induction motor is suspended on two bearings; one on fan-side, other on load-side. This paper presents a technique to locate defective bearing based on Stockwell Transform of stator current signals. The statistical properties of Stockwell transform of current signals are used to form feature vector. Principal Component Analysis is used to extract components with high variability from this feature vector. The top principal components thus extracted, are utilized to locate the defective bearing with the help of Support Vector Machine. The proposed algorithm has been tested successfully for the bearing faults such as ball and outerrace fault.read more
References
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Journal ArticleDOI
Localization of the complex spectrum: the S transform
TL;DR: The S transform is shown to have some desirable characteristics that are absent in the continuous wavelet transform, and provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum.
Journal Article
Localisation of the complex spectrum : The S transform
TL;DR: The S transform as discussed by the authors is an extension to the ideas of the Gabor transform and the Wavelet transform, based on a moving and scalable localising Gaussian window and is shown here to have characteristics that are superior to either of the transforms.
Proceedings ArticleDOI
Motor bearing damage detection using stator current monitoring
TL;DR: In this article, the authors used motor current spectral analysis to detect rolling-element bearing damage in induction machines, where the bearing failure modes were reviewed and bearing frequencies associated with the physical construction of the bearings were defined.
Journal ArticleDOI
A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors
TL;DR: A comprehensive survey of the existing condition monitoring and protection methods in the following five areas: thermal protection and temperature estimation, stator insulation monitoring, bearing fault detection, broken rotor bar/end-ring detection, and air gap eccentricity detection is presented in this article.
Journal ArticleDOI
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
Akhand Rai,S. H. Upadhyay +1 more
TL;DR: In this article, the authors have presented the various signal processing methods applied to the fault diagnosis of rolling element bearings with the objective of giving an opportunity to the examiners to decide and select the best possible signal analysis method as well as the excellent defect representative features for future application in the prognostic approaches.