A fuzzy neural network approach to machine condition monitoring

Authors:
Roya Javadpour;Gerald M. Knapp
Affiliations:
Department of Industrial and Manufacturing Systems Engineering, 3128 CEBA Bldg, Louisiana State University, Baton Rouge, LA;Department of Industrial and Manufacturing Systems Engineering, 3128 CEBA Bldg, Louisiana State University, Baton Rouge, LA
Venue:
Computers and Industrial Engineering - Special issue: Selected papers from the 25th international conference on computers & industrial engineering in New Orleans, Louisiana
Year:
2003

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Abstract

This paper is focused on the implementation of a predictive neural network for use as an operator's aid in the diagnosis of faults with high prediction accuracy in an automated manufacturing environment. In order to evaluate the performance of the model, the network has been tested using both simulated time series and real time machine vibration data collected in lab experiments.