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.
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container_end_page 4126
container_issue 12
container_start_page 4109
container_title IEEE transactions on industrial electronics (1982)
container_volume 55
creator Bellini, A.
Filippetti, F.
Tassoni, C.
Capolino, G.-A.
description 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.
doi_str_mv 10.1109/TIE.2008.2007527
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subjects 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
title Advances in Diagnostic Techniques for Induction Machines
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