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A probability evaluation method of early deterioration condition for the critical components of wind turbine generator systems.

Authors :
Hu, Yaogang
Li, Hui
Liao, Xinglin
Song, Erbing
Liu, Haitao
Chen, Z.
Source :
Mechanical Systems & Signal Processing. Aug2016, Vol. 76/77, p729-741. 13p.
Publication Year :
2016

Abstract

This study determines the early deterioration condition of critical components for a wind turbine generator system (WTGS). Due to the uncertainty nature of the fluctuation and intermittence of wind, early deterioration condition evaluation poses a challenge to the traditional vibration-based condition monitoring methods. Considering the its thermal inertia and strong anti-interference capacity, temperature characteristic parameters as a deterioration indication cannot be adequately disturbed by the uncontrollable noise and uncertainty nature of wind. This paper provides a probability evaluation method of early deterioration condition for critical components based only on temperature characteristic parameters. First, the dynamic threshold of deterioration degree function was proposed by analyzing the operational data between temperature and rotor speed. Second, a probability evaluation method of early deterioration condition was presented. Finally, two cases showed the validity of the proposed probability evaluation method in detecting early deterioration condition and in tracking their further deterioration for the critical components. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08883270
Volume :
76/77
Database :
Academic Search Index
Journal :
Mechanical Systems & Signal Processing
Publication Type :
Academic Journal
Accession number :
114277526
Full Text :
https://doi.org/10.1016/j.ymssp.2016.02.001