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Electrical & mechanical diagnostic indicators of wind turbine induction generator rotor faults

机译:风力发电机感应发电机转子故障的机电诊断指标

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In MW-sized wind turbines, the most widely-used generator is the wound rotor induction machine, with a partially-rated voltage source converter connected to the rotor. This generator is a significant cause of wind turbine fault modes. In this paper, a harmonic time-stepped generator model is applied to derive wound rotor induction generator electrical & mechanical signals for fault measurement, and propose simple closed-form analytical expressions to describe them. Predictions are then validated with tests on a 30 kW induction generator test rig. Results show that generator rotor unbalance produces substantial increases in the side-bands of supply frequency and slotting harmonic frequencies in the spectra of current, power, speed, mechanical torque and vibration measurements. It is believed that this is the first occasion in which such comprehensive approach has been presented for this type of machine, with healthy & faulty conditions at varying loads and rotor faults. Clear recommendations of the relative merits of various electrical & mechanical signals for detecting rotor faults are given, and reliable fault indicators are identified for incorporation into wind turbine condition monitoring systems. Finally, the paper proposes that fault detectability and reliability could be improved by data fusion of some of these electrical & mechanical signals. (C) 2018 The Authors. Published by Elsevier Ltd.
机译:在兆瓦级风力涡轮机中,使用最广泛的发电机是绕线转子感应电机,其部分额定电压源转换器连接到转子。该发电机是风力发电机故障模式的重要原因。在本文中,应用谐波时间步进发电机模型来导出绕线转子感应发电机的电气和机械信号以进行故障测量,并提出简单的封闭式解析表达式来描述它们。然后,通过在30 kW感应发电机测试台上进行的测试来验证预测。结果表明,在电流,功率,速度,机械转矩和振动测量的频谱中,发电机转子的不平衡会导致供电频率的边带和开槽谐波频率的增加。可以相信,这是首次针对这种类型的机器提出这种综合方法,在各种负载和转子故障的情况下,出现健康和故障状况。给出了用于检测转子故障的各种电气和机械信号的相对优点的明确建议,并确定了可靠的故障指示器以结合到风力发电机状态监测系统中。最后,本文提出可以通过对某些电气和机械信号进行数据融合来提高故障检测能力和可靠性。 (C)2018作者。由Elsevier Ltd.发布

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