该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
采用宏微观形貌分析、化学成分分析、力学性能测试、SEM微观形貌分析等手段，分析了减速机轴断裂的原因。
The fracture reason of reducer shaft was analyzed by means of morphology and microstructure analysis, chemical composition analysis, mechanical properties test, SEM micro-morphology analysis.
采用金相分析和化学成分分析方法，对弹性压簧在性能测试时出现断裂进行了分析。
Uses the metallography analysis and the chemical composition analysis method, presses the reed to the elasticity when the performance test appeared the break to carry on the analysis.
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