This paper presents a fault detection method for induction generators using an unscented Kalman filter. In some applications such as wind turbine energy conversion systems, the induction generators experience oscillations caused by wind speed variation; therefore, the fault detection method should be able to detect fault in the presence of these oscillations. On the other hand, the induction generator may operate in islanded mode of operation, the situation that does not happen in motor application. In the present paper, the type of fault is the rotor electrical asymmetry and the proposed method is able to detect the fault in both grid-connected and islanded modes of operation. Several scenarios are simulated, and the efficacy of the proposed technique is evaluated by means of simulation results. Moreover, experiments are performed to validate the ability of the proposed method.

中文翻译：

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使用无味卡尔曼滤波器检测风力涡轮感应发电机的转子电气故障

本文提出了一种使用无迹卡尔曼滤波器的感应发电机故障检测方法。在风力涡轮机能量转换系统等一些应用中，感应发电机会因风速变化而产生振荡；因此，故障检测方法应该能够在存在这些振荡的情况下检测故障。另一方面，感应发电机可以在孤岛运行模式下运行，这种情况在电机应用中不会发生。在本文中，故障类型是转子电气不对称，所提出的方法能够检测并网和孤岛运行模式下的故障。模拟了几种场景，并通过模拟结果评估了所提出技术的功效。而且，