基于角度域同步平均和阶次分析的低速斜齿轮故障诊断

doi:10.13229/j.cnki.jdxbgxb201502018

吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 454-459.doi: 10.13229/j.cnki.jdxbgxb201502018

基于角度域同步平均和阶次分析的低速斜齿轮故障诊断

宋宝玉¹，解志杰¹，张锋¹，王瑞泽¹，郝明晖¹，苏代忠²

1.哈尔滨工业大学机电工程学院，哈尔滨 150001；
2.诺丁汉特伦特大学先进设计与制造工程中心，诺丁汉 NG1 4BU

收稿日期:2013-07-02 出版日期:2015-04-01 发布日期:2015-04-01
作者简介:宋宝玉(1958)，男，教授，博士生导师.研究方向:摩擦学，机械故障诊断.E-mail:sby@hit.edu.cn
基金资助:
“973”国家重点基础研究发展计划项目(2013CB632305)；欧盟玛丽居里计划FP7-PEOPLE-2009-IIF项目(253403).

Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis

SONG Bao-yu¹,XIE Zhi-jie¹,ZHANG Feng¹,WANG Rui-ze¹,HAO Ming-hui¹,SU Dai-zhong²

1.School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China;
2.Nottingham Trent University,Advanced Design and Manufacturing Engineering Centre,Nottingham NG1 4BU,UK

Received:2013-07-02 Online:2015-04-01 Published:2015-04-01

摘要/Abstract

摘要： 为了准确识别转速波动的斜齿轮早期故障特征，提出了基于光电编码器等角度采样的角度域同步平均降噪与阶次分析相结合的故障诊断方法。首先基于时域同步平均原理提出了角度域同步平均算法，采用光电编码器作为外触发器对时域信号进行等角度采样，然后将重采样信号在角度域内进行同步平均，消除与给定频率无关的周期信号和随机噪声的干扰，再利用阶次分析提取故障特征，最后通过斜齿轮点蚀故障诊断试验验证了该方法的有效性。

关键词: 机械故障诊断, 低速斜齿轮, 角度域同步平均, 阶次分析, 点蚀

Abstract: In order to accurately identify the early fault feature of helical gear, a new diagnosis algorithm is proposed based on the angular domain synchronous average and order tracking analysis. First, employing the concept of time domain synchronous average, an algorithm of angular domain synchronous average is put forward to reduce the noise interference. Using optical encoder as the external trigger, the vibration signals is angular domain are obtained by resampling the vibration signals of time domain according to the encoder pulse. By angular domain synchronous average processing, the irrelevant periodic signals and noise interference are reduced. Then, the fault features of helical gear rotating at low speed are extracted by the order tracking analysis. Experiment results of pitting fault diagnosis verify the effectiveness of the proposed algorithm.

Key words: mechanical fault diagnosis, helical gear rotating at low speed, angular domain synchronous average, order tracking analysis, pitting fault

中图分类号:

TH132.41

宋宝玉，解志杰，张锋，王瑞泽，郝明晖，苏代忠. 基于角度域同步平均和阶次分析的低速斜齿轮故障诊断[J]. 吉林大学学报(工学版), 2015, 45(2): 454-459.

SONG Bao-yu,XIE Zhi-jie,ZHANG Feng,WANG Rui-ze,HAO Ming-hui,SU Dai-zhong. Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis[J]. 吉林大学学报(工学版), 2015, 45(2): 454-459.

参考文献

[1] 张志刚, 周晓军, 宫燃, 等. 小波域局部Laplace 模型降噪算法及其在机械故障诊断中应用[J]. 机械工程学报, 2005, 45(9): 52-57.
Zhang Zhi-gang, Zhou Xiao-jun, Gong Ran, et al. Denosing algorithm based on local laplace model in wavelet domain and its application in mechanical fault diagnosis[J]. Journal of Mechanical Engineering, 2005, 45(9): 52-57.
[2] 孙海亮, 訾艳阳, 何正嘉. 多小波自适应分块阈值降噪及其在轧机齿轮故障诊断中的应用[J]. 振动工程学报, 2013, 26(1): 127-134.
Sun Hai-liang, Zi Yan-yang, He Zheng-jia. Mulitiwavelet denoising with adaptive block thresholding and its application in gearbox diagnosis of rolling mills[J]. Journal of Vibration Engineering, 2013, 26(1): 127-134.
[3] 杨定新, 胡茑庆, 杨银刚, 等. 随机共振技术在齿轮箱故障检测中的应用[J]. 振动工程学报, 2004, 17(2): 201-204.
Yang Ding-xin, Hu Niao-qing, Yang Yin-gang, et al. Application of stochastic resonance in early fault detection for intermediate gearbox of helicopter[J]. Journal of Vibration Engineering, 2004, 17(2): 201-204.
[4] Wang K S, Heyns P S. Application of computed order tracking, Vold-Kalman filtering and EMD in rotating machine vibration[J]. Mechanical Systems and Signal Processing, 2011, 25(1):416-430.
[5] Braun S. The synchronous (time domain) average revisited[J]. Mechanical Systems and Signal Processing, 2011,25(4):1087-1102.
[6] Combet F, Gelman L. An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor[J]. Mechanical Systems and Signal Processing, 2007, 21(6): 2590-2606.
[7] 陈韶华, 相敬林. 一种改进的时域平均法检测微弱信号研究[J]. 探测与控制学报, 2003, 25(4): 56-59.
Chen Shao-hua, Xiang Jing-lin. A modified time averaging method in weak signal detection[J]. Journal of Detection and Control, 2003, 25(4): 56-59.
[8] Villa Luisa F, Renones Anibal, Peran Jose R, et al. Angular resampling for vibration analysis in wind turbines under non-linear speed fluctuation[J]. Mechanical Systems and Signal Processing, 2011, 25: 2157-2168.
[9] 郭瑜, 秦树人, 梁玉前. 时频分析阶比跟踪技术[J]. 重庆大学学报:自然科学版, 2002, 25(5): 17-22.
Guo Yu, Qin Shu-ren, Liang Yu-qian. Order tracking method based on time-frequency analysis[J]. Journal of Chongqing University (Natural Science Edition), 2002, 25(5): 17-22.
[10] Fyfe K R, Munck E D S. Analysis of computed order tracking[J]. Mechanical Systems and Signal Processing, 1997, 11(2): 187-205.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

基于角度域同步平均和阶次分析的低速斜齿轮故障诊断

Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis

RICH HTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

Metrics

本文评价

推荐阅读 2