A Comprehensive Method for Detection of Induction Motors Bearing Faults

Hoseini, Seyed Javad; Mosavi Gazafroudi, Seyed Mohammad

Volume 1, Issue 2 (12-2014) IJRARE 2014, 1(2): 48-58 | Back to browse issues page

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Hoseini S J, Mosavi Gazafroudi S M. A Comprehensive Method for Detection of Induction Motors Bearing Faults. IJRARE 2014; 1 (2) :48-58
URL: http://ijrare.iust.ac.ir/article-1-56-en.html

A Comprehensive Method for Detection of Induction Motors Bearing Faults

Seyed Javad Hoseini

, Seyed Mohammad Mosavi Gazafroudi

Student of Electrical Railway Engineering, Iran University of Science and Technology,

Abstract: (2054 Views)

In this paper, some deficiencies of previously conducted studies are pointed out. These are including unreliability, dependent to motor and bearing specifications, lack of precision, drawbacks of experimental tests and etc. Here some important works will be reviewed. The proposed method which is based on wavelet decomposition and tracing the trend of statistical features variations, has overcame most of these deficiencies. Experimental results validated the proposed method. Finally, an approach to enhance detectability and precision in realistic industrial applications which is based on comparing power factor and temperature of tested and industrial application cases, will be presented.

Keywords: Mechanical fault, Single point defect (SD), Distributed defect (DD), Wavelet decomposition, Trend of variation

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Type of Study: Research | Subject: General