Proceedings ArticleDOI
Application of stockwell transform in bearing fault diagnosis of induction motor
Megha Singh,Abdul Gafoor Shaik +1 more
- pp 1-6
TLDR
In this article, a method for detecting bearing faults using multi-resolution analysis of stator current signals based on Stockwell Transform is presented. But the proposed approach is capable of detecting various bearing faults in induction motor.Abstract:
This paper presents a novel method for detecting bearing faults using multi-resolution analysis of stator current signals based on Stockwell Transform. The sampled stator current signals are analyzed with the help of Stockwell Transform to extract features namely maximum magnitude and maximum phase angle. The statistics of these features are further utilized to detect and classify the bearing faults in outer race, inner race, cage and balls. The experimental results show that the proposed approach is capable of detecting various bearing faults in induction motor.read more
Citations
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Journal ArticleDOI
Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine
Megha Singh,Abdul Gafoor Shaik +1 more
TL;DR: F faulty bearing detection, classification and its location in a three-phase induction motor using Stockwell transform and Support vector machine is presented.
Proceedings ArticleDOI
A comparative Study for Ball Bearing Fault Classification Using Kernel-SVM with Kullback Leibler Divergence Selected Features
TL;DR: This paper proposes in this paper a multi-fault classification comparison between traditional Support Vector Machine (SVM) solutions and wavelet SVM (WSVM), and results are derived to highlight the technique allowing to obtain the better results.
Proceedings ArticleDOI
Comparison of Induction Machine Bearing Fault Detection Methods using MCSA, SA and GoFT
TL;DR: This work is based on the comparison of the following methods: Spectral Analysis and 2 types of Goodness-of-Fit Tests; the database is obtained in the laboratory using real and controlled damage; these methods are performed using Motor Current Signature Analysis.
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
TL;DR: 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.
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
Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring
TL;DR: New models for the influence of rolling-element bearing faults on induction motor stator current are described, based on two effects of a bearing fault: the introduction of a particular radial rotor movement and load torque variations caused by the bearing fault.
Journal ArticleDOI
Bearing fault detection using wavelet packet transform of induction motor stator current
Jafar Zarei,Javad Poshtan +1 more
TL;DR: In this paper, bearing defect is detected using the stator current analysis via Meyer wavelet in the wavelet packet structure, with energy comparison as the fault index, and the presented method is evaluated using experimental signals.
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Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine
Megha Singh,Abdul Gafoor Shaik +1 more