A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.

针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。

youdao

According to the result of spectrum analysis of vibration signals, frequency characteristics are acquired and various fault signs are gained.

根据振动信号频谱分析结果，提取频谱特征，获取各种故障征兆信息。

youdao

According to frequency characteristics of the stator current, which carries the fault information, there are two methods: Wavelet decomposition and spectral analysis.

针对定子电流特征频率所携带的故障信息，目前主要有两类处理方法：小波分解和频谱分析。

youdao