绕线转子电动机
转子(电动)
感应发电机
断层(地质)
涡轮机
发电机(电路理论)
风力发电
振动
扭矩
汽轮机
工程类
谐波
发电机
控制理论(社会学)
功率(物理)
电压
汽车工程
计算机科学
感应电动机
电气工程
机械工程
声学
物理
地质学
量子力学
热力学
人工智能
地震学
控制(管理)
作者
Donatella Zappalá,Nur Sarma,Siniša Djurović,Christopher J. Crabtree,M. Aldeen,Peter Tavner
标识
DOI:10.1016/j.renene.2018.06.098
摘要
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.
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