Rotor broken-bar fault diagnosis of induction motor based on HHT of the startup electromagnetic torque |
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Authors: | Niu Fa-liang Huang Jin Yang Jia-qiang Chen Li-yuan and Jin Hai |
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Affiliation: | (1) College of Electronic Engineering, Zhejiang University, Hangzhou, 310027, China |
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Abstract: | This paper presents a new method for rotor broken-bar fault diagnosis of induction motors. The asymmetry of the rotor caused
by broken-bar fault will give rise to the appearance of additional frequency component of 2sf
s (s is slip and f
s is supply frequency) in the electromagnetic torque spectrum. The startup electromagnetic torque signal is decomposed into
several intrinsic mode function (IMF) with empirical mode decomposition (EMD) based on the Hilbert-Huang Transform. Then,
using the instantaneous frequency extraction principle of the Hilbert Transform, the rotor broken-bar fault characteristic
frequency of 2sf
s can be exactly extracted from the IMF component, which includes the rotor fault information. Moreover, the magnitude of the
IMF which includes the rotor fault information can also give the number of rotor broken bars. Experimental results demonstrate
that the proposed electromagnetic torque-based fault diagnosis method is feasible.
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Translated from
Proceedings of the Chinese Society for Electrical Engineering, 2005, 25(11):107–112 (in Chinese) |
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Keywords: | Electromagnetic torque Fault diagnosis Induction motor Hilbert-Huang transform (HHT) |
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