TITLE:
An Adaptive EMD Technique for Induction Motor Fault Detection
AUTHORS:
Manzar Mahmud, Wilson Wang
KEYWORDS:
Induction Motors, Fault Detection, Broken Rotor Bars, Current Signal Processing, Empirical Mode Decomposition
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.10 No.4,
November
14,
2019
ABSTRACT: Reliable induction motor (IM) fault detection
techniques are very useful in industries to diagnose IM defects and improve
operational performance. An adaptive empirical mode decomposition (EMD)
technology is proposed in this paper for rotor bar fault detection in IMs. As
the characteristic fault frequency will change with operating conditions
related to load and speed, the proposed adaptive EMD technique correlates fault
features over different frequency bands and intrinsic mode function (IMF)
sidebands. The adaptive EMD technique uses the first IMF to detect the fault
type and the second IMF as an indicator to predict the fault severity. It can
overcome the problems of the sensitivity of sideband frequencies related to the
speed and load oscillations. The effectiveness of the proposed adaptive EMD
technique is verified by experimental tests under different motor conditions.