A Modified EMD Technique for Broken Rotor Bar Fault Detection in Induction Machines

被引:0
|
作者
Arifin, Md. Shamsul [1 ]
Wang, Wilson [2 ]
Uddin, Mohammad Nasir [1 ]
机构
[1] Lakehead Univ, Dept Elect & Comp Engn, GC Campus, Barrie, ON L4M 3X9, Canada
[2] Lakehead Univ, Dept Mech & Mechatron Engn, Thunder Bay, ON P7B 5E1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
induction machines; rotor bar fault detection; smart current sensors; motor current signature analysis; empirical mode decomposition; spectral operation; MOTORS;
D O I
10.3390/s24165186
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Induction machines (IMs) are commonly used in various industrial sectors. It is essential to recognize IM defects at their earliest stage so as to prevent machine performance degradation and improve production quality and safety. This work will focus on IM broken rotor bar (BRB) fault detection, as BRB fault could generate extra heating, vibration, acoustic noise, or even sparks in IMs. In this paper, a modified empirical mode decomposition (EMD) technique, or MEMD, is proposed for BRB fault detection using motor current signature analysis. A smart sensor-based data acquisition (DAQ) system is developed by our research team and is used to collect current signals wirelessly. The MEMD takes several processing steps. Firstly, correlation-based EMD analysis is undertaken to select the most representative intrinsic mode function (IMF). Secondly, an adaptive window function is suggested for spectral operation and analysis to detect the BRB fault. Thirdly, a new reference function is proposed to generate the fault index for fault severity diagnosis analytically. The effectiveness of the proposed MEMD technique is verified experimentally.
引用
收藏
页数:17
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