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

被引:42
|
作者
Zappala, D. [1 ]
Sarma, N. [2 ,3 ]
Djurovic, S. [2 ]
Crabtree, C. J. [1 ]
Mohammad, A. [2 ]
Tavner, P. J. [1 ]
机构
[1] Univ Durham, Dept Engn, South Rd, Durham, England
[2] Univ Manchester, Power Convers Grp, Sch Elect & Elect Engn, Manchester, Lancs, England
[3] Duzce Univ, Dept Elect & Elect Engn, Duzce, Turkey
基金
英国工程与自然科学研究理事会;
关键词
Wind turbine; Condition monitoring; Doubly-fed induction generator (DFIG); Electrical & mechanical signature analysis; Rotor electrical unbalance; Fault indicator; WOUND ROTOR; VIBRATION; MACHINES;
D O I
10.1016/j.renene.2018.06.098
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:14 / 24
页数:11
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