DocumentCode
3364363
Title
Verification of vibration data in electromachine systems using neural-network software
Author
Evans, Mike ; Trzynadlowski, Andrzej M.
Author_Institution
Dept. of Electr. Eng., Nevada Univ., Reno, NV, USA
fYear
1992
fDate
4-9 Oct 1992
Firstpage
60
Abstract
Verification of vibration data in electromachine systems using neural network software is described. Due to a number of factors, the data are often corrupted and therefore it has been usually verified by a visual inspection. The developed neural networks were trained to screen out glitched and clipped waveforms. Satisfactory results were obtained, indicating the feasibility of neural networks for vibrational diagnostics
Keywords
computerised instrumentation; electric machines; machine testing; neural nets; vibration measurement; clipped waveforms; computerised instrumentation; diagnostics; glitched waveforms; machine testing; neural network software; vibration; Humans; Intelligent networks; Machine intelligence; Neural networks; Pattern recognition; Probes; Shafts; Software systems; Transducers; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE
Conference_Location
Houston, TX
Print_ISBN
0-7803-0635-X
Type
conf
DOI
10.1109/IAS.1992.244464
Filename
244464
Link To Document