In this paper, a fuzzy fault tree analysis technique for reliability evaluation of the wind energy system is presented. The technique combines the operational failures effect and the errors in the fuzzy environment for the wind energy system configuration. In conventional fault tree analysis, the acceptance of the risks probability values is not considered. Besides, it is very difficult to have a precise assessment of the wind system failure rates or the undesired events occurrence probability due to absence of adequate data. Therefore, to overcome these disadvantages, a fault tree analysis based on the fuzzy set theory is presented and applied to the wind energy system. Moreover, if the fault probabilities of the wind energy system fault are not exact values then the fault probabilities are regarded as a fuzzy number and the fuzzy failure rate is known by using fuzzy rules. Also, the fuzzy fault tree analysis is one of the powerful reliability judgment method, which provides the failure modes and its consequences, which are proved on a wind energy system. Furthermore, the risk analysis method is applied based on the fuzzy risk index (FRI) to know the exact impact of every basic event on the top event. Therefore, outcomes show that the fuzzy based fault tree technique combines the probabilities imprecision and engineering inaccuracy are more flexible and adaptive, and it has great use in reliability engineering.

在本文中，提出了一种用于风能系统可靠性评估的模糊故障树分析技术。该技术结合了风能系统配置的运行故障影响和模糊环境中的错误。在传统的故障树分析中，不考虑接受风险概率值。此外，由于缺乏足够的数据，很难准确评估风力系统的故障率或不良事件发生的概率。因此，为了克服这些缺点，基于模糊集理论的故障树分析被提出并应用于风能系统。而且，如果风能系统故障的故障概率不是精确值，则将故障概率视为一个模糊数，利用模糊规则可知模糊失效率。此外，模糊故障树分析是一种强大的可靠性判断方法，它提供了故障模式及其后果，这在风能系统上得到了证明。此外，应用基于模糊风险指数（FRI）的风险分析方法来了解每个基本事件对顶级事件的确切影响。因此，结果表明，基于模糊的故障树技术结合了概率不精确性和工程不精确性，具有更大的灵活性和适应性，在可靠性工程中有很大的应用价值。模糊故障树分析是一种强大的可靠性判断方法，它提供了故障模式及其后果，并在风能系统上得到了证明。此外，应用基于模糊风险指数（FRI）的风险分析方法来了解每个基本事件对顶级事件的确切影响。因此，结果表明，基于模糊的故障树技术结合了概率不精确性和工程不精确性，具有更大的灵活性和适应性，在可靠性工程中有很大的应用价值。模糊故障树分析是一种强大的可靠性判断方法，它提供了故障模式及其后果，并在风能系统上得到了证明。此外，应用基于模糊风险指数（FRI）的风险分析方法来了解每个基本事件对顶级事件的确切影响。因此，结果表明，基于模糊的故障树技术结合了概率不精确性和工程不精确性，具有更大的灵活性和适应性，在可靠性工程中有很大的应用价值。