NDLI: A combined adaptive approach for detection and isolation of wind turbine faults

Content Provider	IEEE Xplore Digital Library
Author	Korablev, Yu.A. Hudolozhkin, S.A. Shestopalov, M.Yu.
Copyright Year	2015
Description	Author affiliation: St. Petersburg Electrotech. Univ. "LETI", St. Petersburg, Russia (Korablev, Yu.A.; Hudolozhkin, S.A.; Shestopalov, M.Yu.)
Abstract	This paper presents an approach for development of a diagnostic system on the base of a combination of different methods for fault detection, isolation and identification. The important place is given to algorithms of diagnostics by means of support vector machine (SVM) and fault detection estimator together with bank of fault isolation estimators (FDE-FIE). The idea of this approach is illustrated on a practical example of the diagnostic task solution for benchmark model of the wind turbine.
Starting Page	47
Ending Page	53
File Size	375747
Page Count	7
File Format	PDF
ISBN	9781467369602
e-ISBN	9781467369619
DOI	10.1109/SCM.2015.7190407
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-19
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Combination of diagnostic algorithms Rotors Generators Method of support vector machine Benchmark model of the wind turbine Faults detection Support vector machines Fault diagnosis Fault detection Isolation and identification Wind turbines Diagnostic system FDE-FIE method Mathematical model
Content Type	Text
Resource Type	Article

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A combined adaptive approach for detection and isolation of wind turbine faults