Document Type

Conference Proceeding

Language

eng

Format of Original

7 p.

Publication Date

10-13-2002

Publisher

Institute of Electrical and Electronics Engineers

Source Publication

Conference Record of the IEEE Industry Applications Conference, 2002. 37th IAS Annual Meeting

Source ISSN

0197-2618

Original Item ID

doi: 10.1109/IAS.2002.1043739

Abstract

Two signal (waveform) analysis approaches are investigated in this paper for motor drive fault identification-one linear and the other nonlinear. Twenty-one different motor-drive operating conditions including healthy, 1 through 10 broken bars, and 1 through 10 broken end-ring connectors are investigated. Highly accurate numerical simulations of current waveforms for the various operating conditions are generated using the time stepping coupled finite element-state space method for a 208-V, 60-Hz, 2-pole, 1.2-hp, squirrel cage 3-phase induction motor. The linear signal analysis method is based on spectral coherence, whereas the nonlinear signal analysis method is based on stochastic models of reconstructed phase spaces. Conclusions resulting from the comparisons of these two methods are drawn.

Comments

Accepted version. Published as part of the proceedings of the conference, Conference Record of the IEEE Industry Applications Conference, 2002. 37th IAS Annual Meeting, 2002: 1541-1547 (Volume 3). DOI. © 2002 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.

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