Conference paper
Intelligent fault diagnosis of induction motor with stator winding fault
2015 11th International Conference on Natural Computation (ICNC), pp.730-735
IEEE
2015 11th International Conference on Natural Computation (ICNC) (Zhangjiajie, China, 15/08/2015–17/08/2015)
2015
Abstract
In this article, a fault diagnosis method is proposed for induction motor which suffers from stator winding shorted turn fault. During fault detection, rms values of the three phase currents are calculated and two currents are subtracted from each other to form the residuals. After the fault is detected through evaluating the developed residuals, a harmony search algorithm is adopted to estimate the fault size, i.e., the fraction of shorted turn and the fault insulation resistance. Simulation experiments are conducted and results validate the developed method.
Details
- Title
- Intelligent fault diagnosis of induction motor with stator winding fault
- Authors/Creators
- M. Yu (Author/Creator) - Hefei University of TechnologyY. He (Author/Creator) - Hefei University of TechnologyH. Wang (Author/Creator) - Hefei University of TechnologyJ. Xu (Author/Creator) - Hefei University of TechnologyD. Wang (Author/Creator) - Nanyang Technological UniversityV.H. Nguyen (Author/Creator) - Nanyang Technological University
- Publication Details
- 2015 11th International Conference on Natural Computation (ICNC), pp.730-735
- Conference
- 2015 11th International Conference on Natural Computation (ICNC) (Zhangjiajie, China, 15/08/2015–17/08/2015)
- Publisher
- IEEE
- Identifiers
- 991005545035507891
- Copyright
- © 2015 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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