[1]宫玮丽,梁波,王晓兰.基于小波包和Hilbert包络分析的隧道掘进机主轴承故障诊断方法研究[J].工业仪表与自动化装置,2018,(02):15-18.[doi:1000-0682（2018）02-0000-00]
　GONG Weili,LIANG Bo,WANG Xiaolan.Research on fault diagnosis method of main bearing of tunnel boring machine based on wavelet packet and Hilbert envelope analysis[J].Industrial Instrumentation & Automation,2018,(02):15-18.[doi:1000-0682（2018）02-0000-00]
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基于小波包和Hilbert包络分析的隧道掘进机主轴承故障诊断方法研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

Title:: Research on fault diagnosis method of main bearing of tunnel boring machine based on wavelet packet and Hilbert envelope analysis

作者:: 宫玮丽1; 2; 梁波1; 2; 王晓兰1; 2; 1.兰州理工大学 a.电气工程与信息工程学院;b.电气与控制工程国家级实验教学示范中心；2.甘肃省工业过程先进控制重点实验室，兰州 730050

Author(s):: GONG Weili1; 2; LIANG Bo1; 2; WANG Xiaolan1; 2; 1a.College of Electrical and Information Engineering;b.National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China;2.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, China

Keywords:: tunnel boring machine; main bearing; wavelet packet transform; Hilbert envelope spectrum; LabVIEW; fault diagnosis

摘要:: 隧道掘进机施工中，主轴承故障对掘进施工影响严重。该文提取主轴承振动信号，采用小波包和Hilbert包络分析相结合的方法，对信号进行分析，获得轴承故障信息。利用小波包变换滤波方法提取轴承高频固有共振频带信号，对所提取的信号进行重构，滤除其中的干扰成份；对重构信号进行Hilbert包络谱解调，去除高频固有共振成份，获得轴承故障信息。通过对振动传感器采集的轴承径向振动信号分析，有效地获得了轴承故障特征，验证了理论方法的正确性。

Abstract:: In the construction of tunnel boring machine, the main bearing fault has a serious influence on the tunneling construction. In this paper, vibration signals of main bearings are extracted. Wavelet packet and Hilbert envelope analysis are used to analyze the signals, and the fault information of bearings is obtained.The wavelet packet transform filtering method is used to extract the high- frequency natural resonance frequency band signal of the bearing,the extracted signal is reconstructed and the interference components are filtered out.The reconstructed signal is demodulated by Hilbert envelope spectrum, and the high frequency inherent resonance component is removed to obtain the bearing fault information. By analyzing the radial vibration signals of the bearings collected by the vibration sensors, the fault characteristics of the bearings are effectively obtained, and the correctness of the theoretical methods is verified.

[1] 刘雅政,黄斌,蒋波,等.盾构机轴承用钢的开发与质量控制[J].钢铁,2014,49(5):1-6.

[2] 虞明全.轴承钢钢种系列的发展状况[J].上海金属, 2008,30(3):49-54.

[3] 刘雅政,周乐育,张朝磊,等.重大装备用高品质轴承用钢的发展及其质量控制[J].钢铁,2013,48(8): 2-8.

[4] 李建征.盾构机主轴承的有限元分析及寿命研究[D].河南:河南科技大学,2011:34-46.

[5] 白杉,周洁.中国隧道盾构掘进机的发展和应用[J].工程机械,2004,35(5): 41-43.

[6] 黄旭就.关于国内盾构机开发的探讨[J].装备制造技术, 2006(2):3-7.

[7] 康文利,王殿,朱俞.基于LabVIEW时域分析的滚动轴承故障诊断[J].煤矿机械, 2012, 33(7): 255-257.

[8] 俞洋洋,周凤星,严保康.基于LabVIEW的滚动轴承故障诊断系统[J].仪表技术与传感器, 2016(3): 74-77.

[9] 向丹.基于LabVIEW的滚动轴承故障诊断系统的开发[J].矿山机械,2013,41(10):129-133.

[10] 刘海生,刘学江.基于LabVIEW的滚动轴承故障诊断系统[J].煤矿机械,2011(1): 25-29.

[11] 王平,廖明夫.滚动轴承故障诊断的自适应共振解调技术[J].航空动力学报,2005,20(4): 606-612.

[12] 马波,魏强,徐春林,等.基于Hilbert变换的包络分析及其在滚动轴承故障诊断中的应用[J].北京化工大学学报, 2004,31(6):95-97.

[13] 陈长征,胡立新,周勃,等.设备振动分析与故障诊断技术[M].北京:科学出版社,2007.

[14] 秦岭,杨君.小波包分析在旋转机械中故障诊断中的应用[J].电子工程师,2006,32(1):48-50.

备注/Memo:: 收稿日期：2017-08-29
作者简介：宫玮丽(1984)，硕士，讲师，研究方向为新能源控制技术Email: gongweili123@126.com

更新日期/Last Update: 2018-04-15