Subspace identification based scheme for fault detection in drive train system

Author

Chouiref, H. ; Boussaid, B. ; Abdelkrim, M.N. ; Puig, V. ; Abrun, C.

Author_Institution

Nat. Sch. of Eng. of Gabes, Gabes Univ., Gabès, Tunisia

fYear

2015

fDate

28-30 April 2015

Firstpage

199

Lastpage

205

Abstract

In order to improve reliability of wind turbines, it is important to detect faults as fast as possible. The fault introduced in this work is the dynamics change of the drive train due to the increased friction from its nominal value will be treated. For diagnosis purpose, a residual generation is used based on a comparison between the nominal generator speed and the observed one obtained by the use of the predictor based LPV subspace identification technique (LPV PBSID) applied at the benchmark system introduced in IFAC SAFEPROCESS 2009 which is modeled as an LPV model considering the wind speed as scheduling variable.

Keywords

fault diagnosis; power transmission (mechanical); wind turbines; IFAC SAFEPROCESS 2009; LPV PBSID; based LPV subspace identification technique; drive train system; fault detection; nominal generator speed; residual generation; subspace identification; wind turbines; Fault detection; Friction; Generators; Mathematical model; Torque; Wind speed; Wind turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Control (ICSC), 2015 4th International Conference on

Conference_Location

Sousse

Print_ISBN

978-1-4673-7108-7

Type

conf

DOI

10.1109/ICoSC.2015.7152787

Filename

7152787