Observers for tracking of synchronous machine parameters and detection of incipient faults

IEEE Transactions on Energy Conversion

Volumn EC-1, Issue 2, 1986, Pages 184-192

  Keyhani, A ^a   Miri, S M ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEMS - OBSERVABILITY; ELECTRIC MACHINERY, SYNCHRONOUS - COMPUTER SIMULATION; ELECTRIC WINDINGS; MATHEMATICAL TECHNIQUES - ALGORITHMS;

DAMPER WINDING CURRENTS; FAULT ANALYSIS; STEADY-STATE CONDITION; TIME-VARYING PARAMETERS; TRACKING OBSERVERS;

ELECTRIC GENERATORS, SYNCHRONOUS;

EID: 0022739913     PISSN: 08858969     EISSN: 15580059     Source Type: Journal    
DOI: 10.1109/TEC.1986.4765719     Document Type: Article

References (6)

1. R. Isermann, “Process Fault Detection Based on Modeling and Estimation Methods -- A Survey,” Automatica, Vol. 20, No.4pp. 387–404, 1984.
2. J. E. Timperley, “Incipient Fault Identification Through Neutral RF Monitoring of Large Rotating Machines,” IEEE Trans. PAS, Vol. PAS-102, pp. 693–698, Mar. 1983.
3. Tien C. Hsia, System Identification: Least-Squares Methods, 1977.
4. L. Ljung, “The Extended Kalman Filter as a Parameter Estimator for Linear Systems,” IEEE Trans. Aut. Control, Vol. AC-24, 1979.
5. R. Lamanna, A. Padilla, and M. Uria, “On-Line Order Selection and Parameter Estimation -- An Experimental Application,” Control System Magazine, May 1984.
6. P. C. Young, “An Instrumental Variable Method for Real-Time Identification of a Noisy Process,” Automatica, Vol. 6, pp. 271–287, 1970.