DocumentCode
1611206
Title
Acoustic evaluation of faults in electrical machines
Author
Gaylard, A. ; Meyer, A. ; Landy, C.
Author_Institution
Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
fYear
1995
Firstpage
147
Lastpage
150
Abstract
Condition monitoring of induction motors traditionally involves current measurements to detect electrical faults, and accelerometer measurements to determine mechanical faults. This work focuses on the use of acoustic measurements for condition monitoring, and proceeds from preliminary work done by Reynders, et al. (1992). The feasibility of identifying loose stator coils by acoustic measurements is shown, as is the identification and verification of a suitable neural network to perform this task automatically
Keywords
acoustic noise measurement; electric machine analysis computing; fault diagnosis; induction motors; machine testing; monitoring; neural nets; stators; acoustic measurements; condition monitoring; faults evaluation; induction motors; loose stator coils identification; neural network;
fLanguage
English
Publisher
iet
Conference_Titel
Electrical Machines and Drives, 1995. Seventh International Conference on (Conf. Publ. No. 412)
Conference_Location
Durham
Print_ISBN
0-85296-648-2
Type
conf
DOI
10.1049/cp:19950852
Filename
497713
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