A probability evaluation method of early deterioration condition for the critical components of wind turbine generator systems. (August 2016)

• Record Type: Journal Article
• Authors: Hu, Yaogang; Li, Hui; Liao, Xinglin; Song, Erbing; Liu, Haitao; Chen, Z.
• Is Part Of: Mechanical systems and signal processing. Volume 76/77(2016)
• Page Start: 729
• Page End: 741
• Publication Date: 2016-08
• Subjects: Wind turbine -- Condition monitoring -- Dynamic threshold -- Probability evaluation -- Degradation degree; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2016.02.001
• Languages: English
• ISSNs: 0888-3270

Abstract

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. Highlights: The actual deterioration degree can be reflected by using the dynamic thresholds. The trend of gradual deterioration changes of critical component can be emerged. The proposed idea can evaluate the deterioration level of critical components early.