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Reseach Article

Induction Motor Bearing Fault Detection based on ICA and ANN

Published on September 2015 by Prashant D. Bharad, and S. Subbaraman
Emerging Applications of Electronics System, Signal Processing and Computing Technologies
Foundation of Computer Science USA
NCESC2015 - Number 1
September 2015
Authors: Prashant D. Bharad, and S. Subbaraman
039a1438-beda-400b-8a69-b24aadc71b76

Prashant D. Bharad, and S. Subbaraman . Induction Motor Bearing Fault Detection based on ICA and ANN. Emerging Applications of Electronics System, Signal Processing and Computing Technologies. NCESC2015, 1 (September 2015), 17-20.

@article{
author = { Prashant D. Bharad, and S. Subbaraman },
title = { Induction Motor Bearing Fault Detection based on ICA and ANN },
journal = { Emerging Applications of Electronics System, Signal Processing and Computing Technologies },
issue_date = { September 2015 },
volume = { NCESC2015 },
number = { 1 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 17-20 },
numpages = 4,
url = { /proceedings/ncesc2015/number1/22362-7329/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Applications of Electronics System, Signal Processing and Computing Technologies
%A Prashant D. Bharad
%A and S. Subbaraman
%T Induction Motor Bearing Fault Detection based on ICA and ANN
%J Emerging Applications of Electronics System, Signal Processing and Computing Technologies
%@ 0975-8887
%V NCESC2015
%N 1
%P 17-20
%D 2015
%I International Journal of Computer Applications
Abstract

Independent component analysis (ICA) is one of the robust methods to extract the features. Many researchers have indicated a great potential for this approach to analyze the signals using ICA to detect the similarity or non-similarity between two signals. We have proposed a novel method which is extension of ICA to detect the faults associated with any machine by collecting vibration signals of machine. This paper presents the details of this method. The classification of the faults, if detected, is carried out using suitable classification technique.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Independent Component Analysis (ica) Fast Fourier Transform (fft) Classifier.