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

Author

Korablev, Yu.A. ; Hudolozhkin, S.A. ; Shestopalov, M.Yu.

Author_Institution

St. Petersburg Electrotech. Univ. "LETI", St. Petersburg, Russia

fYear

2015

fDate

19-21 May 2015

Firstpage

47

Lastpage

53

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.

Keywords

fault diagnosis; support vector machines; wind turbines; FDE-FIE; SVM; adaptive approach; diagnostic system; fault detection estimators; fault isolation estimators; support vector machine; wind turbine faults; Fault detection; Fault diagnosis; Generators; Mathematical model; Rotors; Support vector machines; Wind turbines; FDE-FIE method; benchmark model of the wind turbine; combination of diagnostic algorithms; diagnostic system; faults detection; isolation and identification; method of support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Measurements (SCM), 2015 XVIII International Conference on

Conference_Location

St. Petersburg

Print_ISBN

978-1-4673-6960-2

Type

conf

DOI

10.1109/SCM.2015.7190407

Filename

7190407