Advanced signal processing techniques for fault detection and diagnosis in a wind turbine induction generator drive train: A comparative study

2010 IEEE Energy Conversion Congress and Exposition, ECCE 2010 - Proceedings

Volumn , Issue , 2010, Pages 3576-3581

  Al Ahmar, E ^a,b   Choqueuse, V ^a   Benbouzid, M E H ^a   Amirat, Y ^a   El Assad, J ^b   Karam, R ^b   Farah, S ^b  

^a UNIVERSITÉ DE BRETAGNE OCCIDENTALE   (France)

^b HOLY SPIRIT UNIVERSITY OF KASLIK USEK   (Lebanon)

Author keywords

Failure diagnosis; Motor current signature analysis; Time frequency signal processing methods; Wavelet analysis; Wind turbines

Indexed keywords

ADVANCED SIGNAL PROCESSING; AIR-GAP ECCENTRICITY; BEARING DAMAGE; BROKEN ROTOR BAR; COMPARATIVE STUDIES; FAILURE DIAGNOSIS; FAULT DETECTION AND DIAGNOSIS; GENERATOR CURRENT; MOTOR CURRENT SIGNATURE ANALYSIS; PERIODOGRAMS; PROCESSING METHOD; SIMULATION EXPERIMENTS; TIME-FREQUENCY SIGNAL PROCESSING; TURBINE-INDUCTION GENERATOR;

ASYNCHRONOUS GENERATORS; DAMAGE DETECTION; ENERGY CONVERSION; FAULT DETECTION; PROCESSING; QUALITY ASSURANCE; WAVELET ANALYSIS; WIND POWER; WIND TURBINES;

SIGNAL PROCESSING;

EID: 78650164978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECCE.2010.5617707     Document Type: Conference Paper

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