A neuro-fuzzy application for AC motor drives monitoring system

Nowadays industrial applications require suitable monitoring systems able to identify any decrement in the efficiency involving economical losses. This paper shows that the information coming from a general purpose monitoring system can be usefully exploited to realize a sensorless instrument able to monitor an ac motor drive and diagnostic tools providing useful risk coefficients. The method is based on a complex digital processing of the line signals acquired by means of a Virtual Instrument. The employed wavelet algorithms have been implemented in a Matlab environment and risk coefficients are elaborated by means of suitable neuro fuzzy algorithms.