Method and system for early detection of incipient faults in electric motors
A method and system for early detection of incipient faults in an electric motor are disclosed. First, current and voltage values for one or more phases of the electric motor are measured during motor operations. A set of current predictions is then determined via a neural network-based current predictor based on the measured voltage values and an estimate of motor speed values of the electric motor. Next, a set of residuals is generated by combining the set of current predictions with the measured current values. A set of fault indicators is subsequently computed from the set of residuals and the measured current values. Finally, a determination is made as to whether or not there is an incipient electrical, mechanical, and/or electromechanical fault occurring based on the comparison result of the set of fault indicators and a set of predetermined baseline values.
- Research Organization:
- Texas A And M University,College Station, TX (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- FG07-98ID13641
- Assignee:
- Texas A And M University (College Station, TX)
- Patent Number(s):
- 6,590,362
- Application Number:
- 10/207,105
- OSTI ID:
- 1174394
- Country of Publication:
- United States
- Language:
- English
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