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。

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Infrared thermal imaging technology can quickly make on-line monitoring and diagnosis of overheating fault of electrical equipment by real-time non-contact method.

红外热成像技术能快速、实时地采用非接触手段，在线监测和诊断出电气设备的大多数过热故障。

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This paper introduces the fault reason and diagnosis methods for starting system. The check, adjustment and test of mechanical and electrical part of starter are also introduced.

介绍了起动系统故障的原因和诊断方法，起动机机械部分和电气部分的检查、调整和试验。

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