Method and system for early detection of incipient faults in electric motors
Abstract
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.
- Inventors:
- Issue Date:
- Research Org.:
- Texas A And M University,College Station, TX (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1174394
- Patent Number(s):
- 6590362
- Application Number:
- 10/207,105
- Assignee:
- Texas A And M University (College Station, TX)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
H - ELECTRICITY H02 - GENERATION H02P - CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS
- DOE Contract Number:
- FG07-98ID13641
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 33 ADVANCED PROPULSION SYSTEMS
Citation Formats
Parlos, Alexander G, and Kim, Kyusung. Method and system for early detection of incipient faults in electric motors. United States: N. p., 2003.
Web.
Parlos, Alexander G, & Kim, Kyusung. Method and system for early detection of incipient faults in electric motors. United States.
Parlos, Alexander G, and Kim, Kyusung. Tue .
"Method and system for early detection of incipient faults in electric motors". United States. https://www.osti.gov/servlets/purl/1174394.
@article{osti_1174394,
title = {Method and system for early detection of incipient faults in electric motors},
author = {Parlos, Alexander G and Kim, Kyusung},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 08 00:00:00 EDT 2003},
month = {Tue Jul 08 00:00:00 EDT 2003}
}
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Works referenced in this record:
A speed identifier for induction motor drives using real-time adaptive digital filtering
journal, January 1998
- Ferrah, A.; Bradley, K. J.; Hogben-Laing, P. J.
- IEEE Transactions on Industry Applications, Vol. 34, Issue 1
Recent developments of induction motor drives fault diagnosis using AI techniques
journal, January 2000
- Filippetti, F.; Franceschini, G.; Tassoni, C.
- IEEE Transactions on Industrial Electronics, Vol. 47, Issue 5
Sensorless speed measurement using current harmonic spectral estimation in induction machine drives
journal, January 1996
- Hurst, K. D.; Habetler, T. G.
- IEEE Transactions on Power Electronics, Vol. 11, Issue 1
Effects of time-varying loads on rotor fault detection in induction machines
journal, January 1995
- Schoen, R. R.; Habetler, T. G.
- IEEE Transactions on Industry Applications, Vol. 31, Issue 4
Rotor-speed estimator for induction motors using voltage and current measurements
journal, March 1998
- Zamora, J. L.; Garcı́a-Cerrada, A.; Zazo, A.
- Control Engineering Practice, Vol. 6, Issue 3
An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current
journal, January 1999
- Yazici, B.; Kliman, G. B.
- IEEE Transactions on Industry Applications, Vol. 35, Issue 2
Adaptive speed identification for vector control of induction motors without rotational transducers
journal, January 1992
- Schauder, C.
- IEEE Transactions on Industry Applications, Vol. 28, Issue 5
Performance of FFT-rotor slot harmonic speed detector for sensorless induction motor drives
journal, January 1996
- Blasco-Gimenez, R.; Asher, G. M.; Sumner, M.
- IEE Proceedings - Electric Power Applications, Vol. 143, Issue 3
Design, DSP implementation, and performance of artificial-intelligence-based speed estimators for electromechanical drives
journal, March 1998
- Vas, P.; Stronach, A. F.
- IEE Proceedings - Control Theory and Applications, Vol. 145, Issue 2
Induction motors' faults detection and localization using stator current advanced signal processing techniques
journal, January 1999
- Benbouzid, M. E. H.; Vieira, M.; Theys, C.
- IEEE Transactions on Power Electronics, Vol. 14, Issue 1
Motor bearing damage detection using stator current monitoring
journal, January 1995
- Schoen, R. R.; Habetler, T. G.; Kamran, F.
- IEEE Transactions on Industry Applications, Vol. 31, Issue 6