Fault Analysis of Wind Turbine Gearbox Based on Vague Set and Fault Tree

Hongyan Zhu, Xiaojin Fu
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引用次数: 2

Abstract

Aiming at the high failure rate of gearbox-main components of wind turbine and the limitation of single diagnosis method, this paper proposes a fault diagnosis method based on the generalized set of the fuzzy set-the vague set, which combines the vague set and the fault tree. It is introduced into the fault tree model. The triangular Vague set defined on [0], [1] is used to describe the normal, failure and abnormal behavior of bottom events. Based on the fault tree model of the vague set, the qualitative and quantitative analysis of system faults is made. The vague fuzzy operator is used to calculate the importance of each bottom event and judge the weak links of the system. Finally, a wind power gearbox fault example is simulated. The simulation results show that the proposed method is more flexible and practical than the fuzzy fault tree model.
基于模糊集和故障树的风电齿轮箱故障分析
针对风电齿轮箱主部件故障率高和单一诊断方法的局限性,提出了一种基于模糊集的广义集即模糊集的故障诊断方法,将模糊集与故障树相结合。将其引入到故障树模型中。定义在[0],[1]上的三角Vague集用于描述底层事件的正常、失效和异常行为。基于模糊集的故障树模型,对系统故障进行了定性和定量分析。利用模糊模糊算子计算各底层事件的重要性,判断系统的薄弱环节。最后,对风电齿轮箱故障进行了仿真。仿真结果表明,该方法比模糊故障树模型更具灵活性和实用性。
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