Paper Title:
A New Method of Electric Motor Fault Detection Based on Bi-Spectrum of Eliminated Signals
  Abstract

This paper proposes a new method of motor fault detection by applying the eliminated-signal as data sources for motor fault analysis. Bi-spectrum is used as a key method for processing the signal. The expectation is that the eliminated-signal may contain information for fault analysis. The spectrum and bi-spectrum of the signal are applied as signal processing methods to analyze the motor faults. The method is tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. Based on experiments, the method can differentiate conditions clearly. They seem also to be able to measure fault severity levels by observing the change in among harmonic amplitudes.

  Info
Periodical
Advanced Materials Research (Volumes 378-379)
Chapter
Chapter 5: Electronic Materials and Applications
Edited by
Brendan Gan, Yu Gan and Y. Yu
Pages
561-564
DOI
10.4028/www.scientific.net/AMR.378-379.561
Citation
J. Treetrong, "A New Method of Electric Motor Fault Detection Based on Bi-Spectrum of Eliminated Signals", Advanced Materials Research, Vols. 378-379, pp. 561-564, 2012
Online since
October 2011
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Price
$32.00
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