Title :
Virtual System Fault Models For Training Fuzzy-Wavelet Identifiers In Electrical Drive Diagnosis: An Experimental Validation
Author :
Farronato, L. ; Monti, A. ; Ponci, F. ; Ferrero, A. ; Cristaldi, L. ; Lazzaron, M.
Author_Institution :
Dept. of Electr. Eng., South Carolina Univ., Columbia, SC
Abstract :
This paper presents an experimental activity on electrical drive diagnosis. A wavelet-based fault diagnosis algorithm previously tested in simulation is here validated experimentally. The analysis focuses on stator fault conditions and in particular on incipient faults affecting stator resistance. Together with the description of the experimental activity, a discussion on the structure of the realized board employed for data acquisition and diagnosis is also reported
Keywords :
data acquisition; electric drives; fault diagnosis; fuzzy systems; machine testing; stators; virtual instrumentation; wavelet transforms; data acquisition; electrical drive diagnosis; fuzzy-wavelet identifiers; stator fault conditions; stator resistance; virtual system fault models; wavelet-based fault diagnosis algorithm; Chromium; Circuit faults; Fault diagnosis; Induction machines; Pulse width modulation; Signal processing; Stators; Testing; Thermal stresses; Wavelet analysis; Fuzzy networks; induction machine diagnosis; stator faults; virtual model validation; virtual modeling; wavelet analysis;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604589
