尺度—小波能量谱在内燃机故障诊断中的应用  

Application of Scale-Wave Power Spectrum to Fault Diagnosis of Internal Combustion Engine

作　　者：陈保家[1] 李力[1] 张园[1] 

机构地区：[1]三峡大学机械与材料学院,湖北宜昌443002

出　　处：《内燃机学报》2006年第3期284-287,共4页Transactions of Csice

基　　金：湖北省宜昌市科技发展计划项目(A05107-9)

摘　　要：为了对内燃机气门及活塞—连杆组故障进行有效地诊断,通过试验测取内燃机在不同故障下的振动信号,利用连续小波变换得到信号在尺度上的平均能量分布,即信号的平均尺度—小波能量谱。根据不同故障下振动信号在尺度上的能量分布差异,提出了基于尺度—小波能量的标准特征向量,并以此作为标准,结合欧氏距离方法,对待检故障信号进行诊断,定量判断出了内燃机的故障类型,取得了很好的结果,该方法为内燃机故障诊断提供了一种有效途径。In order to diagnose the faults of valve and piston-connecting rod in internal combustion engine. Averaged scale-wavelet power spectrum （ASWPS） is proposed to extract the features of vibration signals under different abnormal conditions. ASWPS is the wavelet power distribution on different scales from continuous wavelet transform. According to the difference of wavelet pawer scales under different vibration signals, the standard characteristic vector based on scale-wavelet power is proposed. Combined with the method of euclidean distance, faults of determined. The results show that ASWPS is an engine are diagnosed and types of fault are quantitatively effective tool for engine fault diagnos

关 键 词：内燃机 连续小波变换 平均尺度小波能量谱 故障诊断 欧氏距离 

分 类 号：TK401[动力工程及工程热物理—动力机械及工程]