基于冲击响应谱特征提取的自动机裂纹故障诊断

针对武器自动机在动作过程中，机构相互碰撞产生的冲击振动信号，提出计算冲击振动信号的冲击响应谱，并提取冲击响应谱特征值，进而开展自动机部件裂纹故障识别的新方法。开展不同裂纹部件的射击试验，采集正常及故障条件下自动机部件碰撞冲击信号，并根据运动过程进行分离；计算分离后冲击信号最大冲击响应谱，根据冲击响应谱不同区域的冲击响应特征参数，提出冲击响应谱相对峰值比和相对峰值频率比的定义，并将相对峰值比、相对峰值频率比作为故障特征值进行提取；在不同裂纹故障条件下，对比故障特征值统计分布形态，完成不同故障条件的识别试验。试验结果表明，冲击响应谱特性提取可以准确有效地诊断自动机裂纹故障，是一种可以用来在线监测的新方法。

Crack Fault Diagnosis of Automatic Mechanism Based on Shock Response Spectrum Features Extraction

A new crack fault diagnosis method is presented for the automatic mechanism of high-speed gun. The method uses shock response spectrum (SRS) for features extraction. Impact vibration data are acquired in the weapon firing test in which different cracked parts are used. These data are separated according to gun operation status. The shock response spectra of the separated data are computed. Two new definitions of relative peak ratio and relative peak frequency ratio of response spectrum are proposed based on different response characteristics of response spectrum area. The relative peak ratio and relative peak frequency ratio as fault features are extracted. The various faults are recognized by comparing the Statistical distribution pattern of fault characteristic values under different crack conditions. The experimental result shows the proposed method can be used effectively and accurately to diagnose the crack failures of gun automatic mechanism and is particularly applicable for on-line monitoring.