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-volt, 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.
Original language | English |
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Pages (from-to) | 1541-1547 |
Number of pages | 7 |
Journal | Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) |
Volume | 3 |
State | Published - 2002 |
Event | 37th IAS Annual Meeting and World Conference on Industrial applications of Electrical Energy - Pittsburgh, PA, United States Duration: Oct 13 2002 → Oct 18 2002 |
Keywords
- Dynamical systems analysis
- Electric drives
- Fault diagnosis
- Induction motors
- Spectral coherence
- State space methods
- Time stepping finite elements
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering