Title :
A neuro-fuzzy application for AC motor drives monitoring system
Author :
Cristaldi, Loredana ; Lazzaroni, Massimo ; Monti, Antonello ; Ponci, Ferdinanda
Author_Institution :
Dipt. di Elettrotecnica, Politecnico di Milano, Italy
Abstract :
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.
Keywords :
AC motor drives; computerised monitoring; fuzzy logic; fuzzy neural nets; virtual instrumentation; wavelet transforms; AC motor drives; Matlab environment; diagnostic tools; digital processing; line signals; monitoring system; neuro fuzzy algorithms; neuro-fuzzy application; risk coefficients; sensorless instrument; virtual instrument; wavelet algorithms; AC motors; Chromium; Condition monitoring; Environmental economics; Industrial economics; Information technology; Instruments; Power generation economics; Power system economics; Remote monitoring;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2003. IMTC '03. Proceedings of the 20th IEEE
Print_ISBN :
0-7803-7705-2
DOI :
10.1109/IMTC.2003.1208025
