Fault Detection of Electric Motors Application Using ML Estimation Method

Juggrapong Treetrong

doi:10.4028/www.scientific.net/AMR.591-593.1958

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Fault Detection of Electric Motors Application Using ML Estimation Method
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Fault Detection of Electric Motors Application...

Fault Detection of Electric Motors Application Using ML Estimation Method

Abstract:

This paper proposes a new method of motor fault detection. ML Estimation is proposed as a key technique for signal processing. The stator current is used data for motor fault analysis. ML Estimation is generally applied to estimate signals for nonlinear model. The expectation is that the method can provide information for fault analysis. 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 and be also able to measure fault severity levels.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

1958-1961

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1958

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Online since:

November 2012

Authors:

Juggrapong Treetrong

Keywords:

Fault Detection, Induction Motor (IM), Maximization Likelihood Estimation, ML Estimation, Signal Processing

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References

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