基于二代小波的发电机转子匝间短路故障识别

Recognition of Interturn Short-circuit Fault in Generator Rotor Winding Based on Second Generation Wavelet Analysis

为了快速准确地检测电机转子匝间短路故障,研究了二代小波用于发电机转子匝间短路故障检测的原理。在探测线圈法的基础上对附有随机噪声的感应电势信号进行二代小波变换分析,对分解系数进行重构,提取故障特征。仿真结果表明,该方法能有效检测电机匝间短路故障,滤除低频随机噪声,准确及时地提取故障特征,提高了可信度。

In order to short circuit between rotor circles with celerity and precision, the way of implementing second generation wavelet theory into short circuit detecting between rotor circles in generator is researched. Further with same theory, faradism voltage of random yawps are analyzed on base of detecting-loop method, the decomposing coefficients are reconfigured, and fault characteristics are extracted. Simulation result demonstrate that second generation wavelet theory has a good performance in detecting short circuit between rotor circles, in filtering low frequency random yawps, obtaining fault characteristics with celerity, and enhancing reliability.