Identification of significant intrinsic mode functions for the diagnosis of induction motor fault

被引：13

作者：

Cho, Sangjin ^{[1
]}

Shahriar, Md Rifat ^{[1
]}

Chong, Uipil ^{[1
]}

机构：

[1] Univ Ulsan, Sch Elect Engn, Ulsan 680749, South Korea

来源：

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA | 2014年 / 136卷 / 02期

关键词：

DECOMPOSITION; SPECTRUM;

D O I：

10.1121/1.4885541

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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. (C) 2014 Acoustical Society of America

引用

页码：EL72 / EL77

页数：6

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