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[1]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,(12):44-49.[doi:103969/jissn16742869201212011]
　CHEN Han xin,ZHANG Yan,LIU Cen.Fault detection of gearbox by linear combination of adaptive wavlets[J].Journal of Wuhan Institute of Technology,2012,(12):44-49.[doi:103969/jissn16742869201212011]
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线性自适应小波理论的齿轮箱故障诊断方法(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2012年12期
页码:
44-49
栏目:
机电与信息工程
出版日期:
2013-01-11

文章信息/Info

Title:
Fault detection of gearbox by linear combination of adaptive wavlets
文章编号:
16742869(2012)12004406
作者:
陈汉新;  张琰;  刘岑
武汉工程大学机电工程学院，湖北 武汉 430074
Author(s):
CHEN Hanxin;  ZHANG Yan;  LIU Cen
School of Mechanical and Electrical Engineering,Wuhan Institute of Technology,Wuhan 430074,China
关键词:
故障诊断; 自适应小波; 希尔伯特变换
Keywords:
fault detection;  adaptive wavelet;  hilbert transform
分类号:
TH165.3+
DOI:
103969/jissn16742869201212011
文献标志码:
A
摘要:
针对早期齿轮箱故障信息淹没在背景组分中的问题，提出了基于线性自适应小波理论的齿轮箱故障诊断方法.该方法基于希尔伯特变换(HT)和自适应小波变换(AWT) ，能从低频的调制振动信号中区分并识别不同程度的裂纹故障.首先用希尔伯特变换提取调制振动信号的包络值以显示调制频率.然后利用自适应小波变换来处理由希尔伯特变换得到的调制信号，其中在自适应小波处理希尔伯特变换后的调制信号的过程中利用粒子群算法(PSO)对过程参数进行优化.实验结果表明该自适应小波变换能通过过程优化小波找到匹配振动信号的啮合频率及其谐波、耦合频率、载波频率及其边频带，能够从调制信号中提取出特征参数，且具有较高的分辨率.
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.

参考文献/References:

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相似文献/References:

[1]贺文杰,Bajolet Julien,Yoann Plassard,等.基于EMD和FFT的齿轮箱故障诊断[J].武汉工程大学学报,2011,(01):65.[doi:10.3969/j.issn.16742869.2011.01.017]
　HE Wen jie,BAJOLET Ju lien,PLASSARD Yoann,et al.Gearbox fault diagnosis based on EMD and FFT[J].Journal of Wuhan Institute of Technology,2011,(12):65.[doi:10.3969/j.issn.16742869.2011.01.017]
[2]鲁艳军,陈汉新,贺文杰,等.基于混合特征提取和WNN的齿轮箱故障诊断[J].武汉工程大学学报,2011,(05):82.[doi:10.3969/j.issn.16742869.2011.05.022]
　LU Yanjun,CHEN Hanxin,HE Wenjie,et al.Gearbox fault diagnosis based on hybrid feature extraction and wavelet neural network[J].Journal of Wuhan Institute of Technology,2011,(12):82.[doi:10.3969/j.issn.16742869.2011.05.022]
[3]尚云飞,陈汉新,孙魁.面向齿轮箱故障诊断的序贯概率比检验理论和方法[J].武汉工程大学学报,2011,(12):65.
　SHANG Yun fei,CHEN Han xin,SUN Kui.Theories and methods of gearbox fault diagnosis oriented sequentialprobability ratio test[J].Journal of Wuhan Institute of Technology,2011,(12):65.
[4]陈汉新,刘岑,杨诗琪.检测与诊断齿轮裂纹故障的一种方法[J].武汉工程大学学报,2014,(09):53.[doi:103969/jissn16742869201409011]
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[5]黄文健,黄瑾珉,曹承昊,等.基于PCA与SPRT的机械故障诊断方法研究[J].武汉工程大学学报,2018,40(06):678.[doi:10. 3969/j. issn. 16742869. 2018. 06. 019]
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备注/Memo

备注/Memo:
收稿日期：20121101基金项目：国家自然科学基金（61273176）；教育部新世纪高校杰出人才计划（201010621237）作者简介：陈汉新(1969)，男，湖北武汉人，教授，博士.研究方向：机械故障诊断及监控与超声波无损检测.
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