Advances in Diagnostic Techniques for Induction Machines

This paper investigates diagnostic techniques for electrical machines with special reference to induction machines and to papers published in the last ten years. A comprehensive list of references is reported and examined, and research activities classified into four main topics: 1) electrical fault...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) 2008-12, Vol.55 (12), p.4109-4126
Hauptverfasser:	Bellini, A., Filippetti, F., Tassoni, C., Capolino, G.-A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive signal processing Artificial intelligence artificial intelligence (AI) bearings Circuit faults Condition monitoring diagnostic reasoning Diagnostic systems Electrical faults Expert systems Fault detection Fault diagnosis Faults Fourier transforms fuzzy neural networks Induction machines induction motor drives induction motor protection industrial power system maintenance Lists Magnetic field measurement Monitoring pattern recognition Signal analysis Signal processing time-frequency analysis wavelet transforms
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Beschreibung
Zusammenfassung:	This paper investigates diagnostic techniques for electrical machines with special reference to induction machines and to papers published in the last ten years. A comprehensive list of references is reported and examined, and research activities classified into four main topics: 1) electrical faults; 2) mechanical faults; 3) signal processing for analysis and monitoring; and 4) artificial intelligence and decision-making techniques.
ISSN:	0278-0046 1557-9948
DOI:	10.1109/TIE.2008.2007527