DocumentCode :
1038762
Title :
A neurofuzzy 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
Volume :
53
Issue :
4
fYear :
2004
Firstpage :
1020
Lastpage :
1027
Abstract :
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.
Keywords :
AC motor drives; computerised monitoring; diagnostic expert systems; fuzzy neural nets; signal processing; virtual instrumentation; wavelet transforms; AC motor drives; Matlab environment; diagnostic tool; digital processing; economic losses; industrial applications; line signals; monitoring system; neurofuzzy algorithms; risk coefficients; sensorless instrument; virtual instrument; wavelet algorithms; AC motors; Condition monitoring; Environmental economics; Industrial economics; Instruments; Power generation economics; Remote monitoring; Signal processing; Signal processing algorithms; Wavelet transforms; Neurofuzzy; virtual instruments; virtual test bed;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2004.830589
Filename :
1315978
Link To Document :
بازگشت