Power generation quantity from wind sector is increasing at much faster rate day by day in the scenario of power systems, which obviously needs reliable operation. Therefore, accurate monitoring and error diagnosis are almost mandatory. This paper aims to identify important errors that affect the performance and can easily detect the faults of wind turbine generators (WTGs). Wind turbines are subjected to different sort of failures; thus, before starting to identify various kinds of errors, it is necessary to identify what kind of failures can be found in the real world which causes healthy operation of WTGs. Out of different errors, error that is caused by the operation of gearbox could stop or reduce the generation of power from WTGs for a long time. Recently, several condition monitoring and fault diagnosis techniques have been introduced in order to minimize downtime and maintenance cost while increasing energy availability and life time service of the wind farms. Different types of sensors have been used for long time in wind turbine fault diagnosis or monitoring systems to collect data of the generator health. Many researchers analyzed wind turbine failures using different software. The present study uses different approaches and prepares a multi-criteria decision-making framework using analytic hierarchy process (AHP). The analysis of the data under AHP frame work revealed overspeed guard/turbine out of control error got the top most impediment to the healthy operation of WTGs, and high brake temperature fits in the fifth position among the five different error groups considered.

中文翻译：

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风力发电机故障的原因：可持续发电的多准则方法

在电力系统的情况下，风能部门的发电量正以越来越快的速度增长，这显然需要可靠的运行。因此，准确的监视和错误诊断几乎是必不可少的。本文旨在确定影响性能的重要错误，并且可以轻松检测风力涡轮发电机（WTG）的故障。风力涡轮机会遭受各种故障；因此，在开始识别各种错误之前，有必要确定在现实世界中会发现哪些类型的故障会导致WTG正常运行。在不同的错误中，由变速箱操作引起的错误可能会长时间停止或减少来自WTG的发电。最近，为了使停机时间和维护成本最小化，同时又增加了风电场的能源利用率和使用寿命，引入了几种状态监测和故障诊断技术。风力涡轮机故障诊断或监视系统中长期使用不同类型的传感器来收集发电机运行状况数据。许多研究人员使用不同的软件分析了风机故障。本研究使用不同的方法，并使用层次分析法（AHP）准备了多标准决策框架。对AHP框架下数据的分析表明，超速保护装置/涡轮失控错误是WTG健康运行的最大障碍，在五个不同的错误组中，较高的制动温度处于第五位。