基于连续小波变换的奇异性检测与故障诊断  

Singularity Detection Using Continuous Wavelet Transform and Its Application to Fault Diagnosis

作　　者：林京[1] 屈梁生[2] 

机构地区：[1]中国科学院声学研究所声场声信息国家重点实验室,北京100080 [2]西安交通大学机械工程学院,西安710049

出　　处：《振动工程学报》2000年第4期523-530,共8页Journal of Vibration Engineering

摘　　要：小波奇异性检测方法作为一种有效的信号局部奇异程度的定量描述方法 ,已在许多领域展开应用。针对当前普遍采用的基于二进小波变换的奇异性检测方法的不足 ,建立了基于连续小波变换的奇异性检测方法 ,具有更细致的局部奇异性刻画能力。本文将这种方法应用在压缩机气阀的故障诊断中 。Singularity detection using wavelet transform, the most popularly, dyadic discrete wavelet transform has been successfully used in many research fields. In fact, singularity detection using continuous wavelet transform has much more ability for quantitative description of singularity than that of dyadic discrete wavelet transform. In the article, the method of singularity detection using continuous wavelet transform is introduced and used for mechanical fault diagnosis. The results show that it is very effective for local singularity description.

关 键 词：故障论断 奇异性检测 气阀 

分 类 号：TH165.3[机械工程—机械制造及自动化] TH45