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

Volume

2

fYear

2003

Firstpage

1627

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2003. IMTC '03. Proceedings of the 20th IEEE

ISSN

1091-5281

Print_ISBN

0-7803-7705-2

Type

conf

DOI

10.1109/IMTC.2003.1208025

Filename

1208025