Paper Title:
Fault Prediction of Induction Motor Based on Time-Frequency Analysis
  Abstract

Because the faults happening in the motor (such as the stator and the rotor faults) can distort the sinusoidal response of the motor RPM and the main frequency, hence the spectrum method has previously been introduced which it relates to both amplitudes and phases among harmonics in a signal. The method popularly applied for fault detection is based on frequency analysis by observing the side band, its harmonics around main frequencies or its other harmonics. Based on the present experiments, the spectrum method by FFT function has ability to distinguish the motor condition. But, the fault severity levels seem to not able to analyze. Hence the time-frequency Analysis (or spectrogram) of the stator phase currents is proposed here. The method is expected to show relation between the phase current signals and the fault levels which make it can detect the faults and also indicate the fault levels. The experiments show that the proposed method can provide good accuracy for fault prediction and fault level quantification. Hence it can conclude that the propose method can be an effective tool for motor fault prediction.

  Info
Periodical
Edited by
Zhou Mark
Pages
115-120
DOI
10.4028/www.scientific.net/AMM.52-54.115
Citation
J. Treetrong, "Fault Prediction of Induction Motor Based on Time-Frequency Analysis", Applied Mechanics and Materials, Vols. 52-54, pp. 115-120, 2011
Online since
March 2011
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