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浙江大学学报(工学版)
J4  2010, Vol. 44 Issue (8): 1514-1518    DOI: 10.3785/j.issn.1008-973X.2010.08.014
机械工程     
形态解调在齿轮故障特征提取中的应用
沈路1,周晓军1,张文斌1,2,张志刚1
1.浙江大学 流体传动及控制国家重点实验室,浙江 杭州 310027; 2.红河学院工学院,云南 蒙自 661100
Application of morphological demodulation in
gear fault feature extraction
SHEN Lu1, ZHOU Xiao-jun1, ZHANG Wen-bin1,2, ZHANG Zhi-gang1
1.State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China;
2.Engineering College, Honghe University, Mengzi 661100, China
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摘要：

针对齿轮故障信号往往由于冲击的存在而产生调制现象的问题,提出采用形态学解调的方法提取齿轮故障特征.在分析不同形态学运算对信号处理结果影响的基础上,结合形态闭运算提取信号正脉冲的特点,采用闭运算对齿轮故障信号进行形态解调以提取故障特征.分析并比较不同长度扁平形结构元素对仿真与实际故障齿轮信号的解调效果,说明当采用长度为019～021倍的齿轮冲击周期的扁平形结构元素进行形态解调以提取故障特征时,可取得较好的效果.仿真与实例证明,形态解调方法不仅克服了包络解调需选择滤波参数的缺点,而且能够更有效地提取齿轮故障特征.
Abstract:

AM/FM always appear as a result of the impact in gear fault signal. Morphological demodulation was proposed to extract fault feature. The effect of different morphological operation on signal was analyzed. Considering the characteristic of extracting positive pulse in morphological closing operation, morphological closing operation was used to extract gear fault feature. Demodulation effect of different length linear structure element on simulation and practical gear fault signal were analyzed and compared. The good performance can be achieved when 019 to 021 times length of impact period flat structure element was used to gear fault feature extraction. Simulation and experiment results show that the method of morphological demodulation, which has overcome the shortcoming of choosing filter parameters in envelope demodulation, could extract gear fault feature more effectively than envelope demodulation．
出版日期: 2010-09-21
:  TH 165  
通讯作者: 周晓军，男，教授，博导.     E-mail: cmeesky@163.com
作者简介: 沈路(1982-)，男，江西宜春人，博士，从事机械系统信号处理研究.E-mail:shenlu00192@126.com
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引用本文:

沈路, 周晓军, 张文斌, 张志刚. 形态解调在齿轮故障特征提取中的应用[J]. J4, 2010, 44(8): 1514-1518.

CHEN Lu, ZHOU Xiao-Jun, ZHANG Wen-Bin, ZHANG Zhi-Gang. Application of morphological demodulation in
gear fault feature extraction. J4, 2010, 44(8): 1514-1518.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2010.08.014    或    http://www.zjujournals.com/eng/CN/Y2010/V44/I8/1514

［1］ RUBINI R, MENEGHETTI U. Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings ［J］. Mechanical Systems and Signal Processing, 2001,15(2):287302．
［2］ 胡爱军,唐贵基,安连锁. 基于数学形态学的旋转机械振动信号降噪方法［J］. 机械工程学报,2006,42(4):127130．
HU Aijun, TANG Guiji, AN Liansuo. Denoising technique for vibration signals of rotating machinery based on mathematical morphology filter ［J］. Chinese Journal of Mechanical Engineering, 2006,42(4):127130.
［3］ 崔屹. 图像处理与分析：数学形态学方法及应用［M］. 北京：科学出版社,2000:100112．
［4］ NIKOLAOU N G, ANTONIADIS I A. Application of morphological operators as envelope extractors for impulsetype periodic signals ［J］. Mechanical Systems and Signal Processing, 2003,17(6):11471162．
［5］ 丁康,李巍华,朱小勇. 齿轮及齿轮箱故障诊断实用技术［M］. 北京：机械工业出版社,2006:1326．
［6］ 杜秋华,杨曙年. 形态滤波在滚动轴承缺陷诊断中的应用［J］. 轴承,2005,41(6):2731．
DU Qiuhua, YANG Shunian. Application of morphology filter in defect diagnosis of rolling bearings ［J］. Bearing, 2005,41(6):2731．
［7］ 于德介,程军圣,杨宇. HilbertHuang变换在齿轮故障诊断中的应用［J］. 机械工程学报,2005,41(6):102106．
YU Dejie, CHENG Junsheng, YANG Yu. Application of HilbertHuang transform method to gear fault diagnosis ［J］. Chinese Journal of Mechanical Engineering, 2005,41(6):102106．
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