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A neurofuzzy application for AC motor drives monitoring system

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4 Author(s)
Cristaldi, L. ; Dipt. di Elettrotecnica, Politecnico di Milano, Italy ; Lazzaroni, M. ; Monti, A. ; Ponci, F.

Currently industrial applications require suitable monitoring systems able to identify any decrease in efficiency resulting in economic losses. This paper shows that the information coming from a general purpose monitoring system can be usefully exploited to realize a sensorless instrument for the monitoring of an ac motor drive, and can be fed to a diagnostic tool for providing useful risk coefficients. The method is based on digital processing of the line signals acquired by means of a virtual instrument. The employed wavelet algorithms have been implemented within a Matlab environment, and risk coefficients are generated by means of suitable neurofuzzy algorithms.

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Instrumentation and Measurement, IEEE Transactions on  (Volume:53 ,  Issue: 4 )