Title :
Detection of shorted-turns in the field winding of turbine-generator rotors using novelty detectors-development and field test
Author :
Streifel, Robert J. ; Marks, R.J., II ; El-Sharkawi, M.A. ; Kerszenbaum, I.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fDate :
6/1/1996 12:00:00 AM
Abstract :
A method for detecting shorted windings in operational turbine-generators is described. The method is based on the traveling wave method described by El-Sharkawi, et. al. (1971). The method is extended in this paper to operational rotors by the application of a neural network feature extraction and novelty detection. The results of successful laboratory experiments are also reported
Keywords :
automatic test software; fault diagnosis; fault location; feature extraction; machine testing; neural nets; power engineering computing; rotors; turbogenerators; field test; field windings; laboratory experiments; neural network feature extraction; novelty detectors; shorted-turns detection; traveling wave method; turbine-generator rotors; Assembly; Computer vision; Condition monitoring; Detectors; Feature extraction; Impedance measurement; Laboratories; Neural networks; Rotors; Testing;
Journal_Title :
Energy Conversion, IEEE Transactions on
