Title :
Validation and recovery of vibration data in electromachine systems using neural network software
Author :
Karam, Marc ; Ghassemzadeh, Majid ; Dai, Ningda ; Gandikota, Madhusudan ; Trzynadlowski, Andrzej M.
Author_Institution :
Nevada Univ., Reno, NV, USA
Abstract :
It is shown that neural network (NN) software can successfully be used for validation of vibration data and classification of distorted waveforms. This constitutes a confirmation of the feasibility of application of NNs in expert systems for the predictive maintenance diagnostics of rotating electromachine systems. Details of the developed networks, preparatory and training procedures, and experimental results are presented
Keywords :
digital simulation; electric machine analysis computing; learning (artificial intelligence); maintenance engineering; neural nets; vibrations; classification; distorted waveforms; electric machine analysis computing; expert systems; neural network software; predictive maintenance diagnostics; training; validation; vibration data; Condition monitoring; Inspection; Intelligent networks; Machinery; Neural networks; Power supplies; Probes; Remote monitoring; Shafts; Transducers;
Conference_Titel :
Industry Applications Society Annual Meeting, 1993., Conference Record of the 1993 IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-1462-X
DOI :
10.1109/IAS.1993.298928
