Abstract
In the reliability modeling of wind turbine generators, the limitations of independent and binary states among core components were taken into account. Based on the physical characteristics of the degradation of four core components in wind turbine generators and the property of failure dependence, by introducing the failure influence factors existing between components, the multi-state Markov model of a wind power generation system considering failure dependence was proposed. Drawing on the aggregation stochastic process theory in the ion-channel mathematical modeling, several crucial indicators for evaluating system reliability were derived: single-point availability, multi-point availability, reliability, and average lifetime. Through numerical examples, the accuracy of the proposed model was validated, and the sensitivity of system reliability to the failure influence factors among components was analyzed.
| Translated title of the contribution | Reliability evaluation of multi-state wind turbines considering failure dependence |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 76-85 |
| Number of pages | 10 |
| Journal | Zhendong yu Chongji/Journal of Vibration and Shock |
| Volume | 45 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 28 Jan 2026 |
| Externally published | Yes |