A New Fault Diagnosis Approach for Brushless Doubly Fed Machines for Wind Turbine Generator Applications

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Abdi Jalebi, Salman, Tatlow, Mark, Abdi, Ehsan, McMahon, Richard and Amiri, Sam (2020) A New Fault Diagnosis Approach for Brushless Doubly Fed Machines for Wind Turbine Generator Applications. In: International Conference on Electrical Machines (ICEM), 2020-08-23.

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Abstract

The Brushless Doubly Fed Machine (BDFM) with high reliability and robust structure demonstrates commercial and technical advantages both as a generator and motor for variable speed applications. As a generator it is particularly attractive to be used in offshore wind turbines where reliability improvement and maintenance cost reduction are the key factors in market growth. As a motor it may be utilized for adjustable speed drives. In this study, a continuous wavelet transform (CWT) technique using a wavelet-based adoptive filter has been proposed for the BDFM fault detection as a generator operating in a wind turbine. Three different generator-typed faults namely rotor torque perturbation, rotor broken bar and grid overvoltage faults have been considered to assess the practicality of the proposed technique. The study has been performed on a D400 250kW BDFM.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	brushless doubly fed machine (bdfm),condition monitoring,continuous wavelet transform (cwt),fault diagnosis,rotor broken bar,torque perturbation,electrical and electronic engineering,mechanical engineering ,/dk/atira/pure/subjectarea/asjc/2200/2208
Faculty \ School:	Faculty of Science > School of Engineering (former - to 2024)
UEA Research Groups:	Faculty of Science > Research Groups > Sustainable Energy
Related URLs:	http://www.scopus.com/inward/record.url?... https://ieeexplore.ieee.org/document/927...
Depositing User:	LivePure Connector
Date Deposited:	29 Jan 2021 01:06
Last Modified:	07 Nov 2024 12:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/78323
DOI:	10.1109/ICEM49940.2020.9270694

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