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
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;
Conference_Titel :
Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-0635-X
DOI :
10.1109/IAS.1992.244464
