小波降噪在柴油机振动诊断中的应用研究  

The Application of Wavelet Noise Reduction in Vibration Diagnosis on Diesel Engine

作　　者：黄强[1] 高世伦[1] 刘永长[1] 

机构地区：[1]华中科技大学,武汉430074

出　　处：《小型内燃机与摩托车》2003年第5期7-10,共4页Small Internal Combustion Engine and Motorcycle

摘　　要：基于小波分析与神经网络的振动信号故障诊断方法 ,本文提出在小波包特征提取前对原始信号进行小波降噪处理 ,并以 2 95柴油机进排气系统故障诊断为例验证采用小波降噪处理方法的必要性。结果表明 :进行小波降噪处理的故障识别率较未经小波降噪处理的有较大提高。In the fault diagnosis based on Wavelet Analysis and Neural Networks, before picking-up characteristics of wavelet packet, Wavelet Noise Reduction is used to reduce the disturbance of background noises in vibration signals. Then the effects using it or not are compared on the inlet and exhaust systems fault diagnosis of 295 Diesel Engine. The result shows that Wavelet Noise Reduction to original vibration signals can improve the veracity of fault diagnosis.

关 键 词：小波降噪 柴油机 振动诊断 振动信号 神经网络 

分 类 号：TK427[动力工程及工程热物理—动力机械及工程]