武汉工程大学学报2012，Vol.34Issue(12)：44-49,6.DOI:10.3969/j.issn.1674-2869.2012.12.011
线性自适应小波理论的齿轮箱故障诊断方法
Fault detection of gearbox by linear combination of adaptive wavlets
摘要
Abstract
Aimed at the problem that the gearbox' s fault information is always flooded in the background at the early-age, a new method which identify gear crack from the low-frequency modulated vibration signal and based on hilbert transform ( HT) and adaptive wavelet transform (AWT) was proposed. Firstly, hilbert transform was used to present the envelope of the modulated vibration signal to show the modulating frequency. Then, adaptive wavelet transform was applied to process the modulated vibration signal by hilbert transform. The AWT procedure based on the parametric optimisation by particle swarm optimization algorithm(PSO) was developed. The experimental results show that the proposed AWT can match the vibration signal with the meshing frequency and its harmonics, the coupling frequency, the carrier frequency and its sidebands by an optimized wavelet. This method is also applied to extract the envelop features from the modulated vibration signal with the higher resolution.关键词
故障诊断/自适应小波/希尔伯特变换Key words
fault detection/ adaptive wavelet/ hilbert transform分类
机械制造引用本文复制引用
陈汉新,张琰,刘岑..线性自适应小波理论的齿轮箱故障诊断方法[J].武汉工程大学学报,2012,34(12):44-49,6.基金项目
国家自然科学基金(61273176) （61273176）
教育部新世纪高校杰出人才计划(201010621237) （201010621237）
