时间差计算下的大型超临界发电机组转子绕组RSO检测方法

RSO Experimental Optimization Method for Rotor Set of Large Supercritical Generator Set

为提高大型超临界发电机组转子组状态检测效果,设计时间差计算下的大型超临界发电机组转子组循环周期性电脉冲(RSO)检测方法,即基于RSO检测法原理提取时间差脉冲信号特征,根据信号时间差特征构建线圈短路检测模型,利用小波变换方法进行时间差信号去噪处理,并固定转子位置与绕组参数,确定转子组故障位置,从而实现大型超临界发电机组转子组RSO检测。试验结果表明,该方法对电机初始转子位置、启动时转子位置、断条正常、断条故障时功率谱幅值的检测结果与实际值均相差较小,验证了所提方法的有效性。

To improve the state detection effect of large supercritical generator rotor set,the RSO(Cyclic Periodic Electrical Impulse)detection method of large supercritical generator rotor set based on time difference calculation is designed.According to the principle of RSO detection method,the characteristics of time difference pulse signal are extracted.The detection model of coil short circuit is constructed according to the time difference characteristics of signal.Wavelet transform is used to denoise the time difference signal.Fix the rotor position and winding parameters are fixed to determine the fault position of the rotor set.Thus,the RSO detection of the rotor set of large supercritical generator unit is realized.The experimental results show that the difference between the detection results of the power spectrum amplitude of the initial rotor position,the rotor position at startup,the normal broken bar and the broken bar fault is small,which verifies the effectiveness of the proposed method.