Fourier and wavelet transformations application to fault detection of induction motor with stator current

Author:

Lee Sang-hyuk,Wang Yi-qi,Song Jung-il

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference15 articles.

1. VAS P. Parameter estimation, condition monitoring, and diagnosis of electrical machines [M]. Oxford: Clarendron Press, 1993.

2. HAJI M, TOLIYAT H A. Pattern recognition: A technique for induction machines rotor fault detection eccentricity and broken bar fault [C]// Proceedings of the 2001 IEEE Industry Applications Conference. Chicago, 2001: 1572–1578.

3. NEELAM M, RATNA D. Motor current signature analysis and its applications in induction motor fault diagnosis [C]// Proceedings of the American Conference on Applied Mathematics. Massachusetts, 2008: 442–448.

4. OLYMPIADA A S, MARIA G I. Induction motors’ faults detection and diagnosis by using dedicated software [J]. Journal of Materials Processing Technology, 2007, 181(1): 313–3

5. NEELAM M, RATNA D. An approach of condition monitoring of induction motor using MCSA [J]. International Journal of Systems Applications, Engineering and Development, 2007, 1(1): 13–17.

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