a comprehensive method for detection of induction motors bearing faults

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.