Identification of significant intrinsic mode functions for the diagnosis of induction motor fault (original) (raw)

Abstract

For the analysis of non-stationary signals generated by a non-linear process like fault of an induction motor, empirical mode decomposition (EMD) is the best choice as it decomposes the signal into its natural oscillatory modes known as intrinsic mode functions (IMFs). However, some of these oscillatory modes obtained from a fault signal are not significant as they do not bear any fault signature and can cause misclassification of the fault instance. To solve this issue, a novel IMF selection algorithm is proposed in this work.

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  15. J. Acoust. Soc. Am. 136 (2), August 2014 Cho et al.: Diagnosis of induction motor fault EL77 Redistribution subject to ASA license or copyright; see http://acousticalsociety.org/content/terms. Download to IP: 131.181.251.130 On: Thu, 19 Mar 2015 23:17:47