[1]陈俊杰,黄宜坚.利用关联维数进行液压阀故障诊断[J].华侨大学学报(自然科学版),2009,30(4):371-375.[doi:10.11830/ISSN.1000-5013.2009.04.0371]
　CHEN Jun-jie,HUANG Yi-jian.The Fault Diagnosis of Hydraulic Valve Based on Correlation Dimension[J].Journal of Huaqiao University(Natural Science),2009,30(4):371-375.[doi:10.11830/ISSN.1000-5013.2009.04.0371]
点击复制

利用关联维数进行液压阀故障诊断()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第30卷
期数:
2009年第4期
页码:
371-375
栏目:
出版日期:
2009-07-20

文章信息/Info

Title:
The Fault Diagnosis of Hydraulic Valve Based on Correlation Dimension
文章编号:
1000-5013(2009)04-0371-05
作者:
陈俊杰; 黄宜坚
华侨大学机电及自动化学院
Author(s):
CHEN Jun-jie;  HUANG Yi-jian
College of Mechanical Engineering and Automation, Huaqiao University, Quanzhou 362021, China
关键词:
故障诊断;  关联维数;  减压阀;  调速阀;  预处理
Keywords:
fault diagnosis;  correlation dimension;  pressure valve;  speed control valve;  pretreatment
分类号:
TH137.522
DOI:
10.11830/ISSN.1000-5013.2009.04.0371
文献标志码:
A
摘要:
研究关联维数在减压阀和调速阀故障诊断中的应用,并针对故障诊断的实际情况,对采集到的信号进行分析,提出将关联维数用于液压元件故障诊断的技术路线及方法.结果表明,不同故障的液压阀产生机制不同,通常也具有不同的关联维数,故关联维数可用于故障的特征提取.正常情况下,位移和加速度参量的关联维数D2<2; 而在故障情况下,所得到的关联维数D2>2.通过分析加速度的关联维数,可以判断被测液压元件是否存在故障.
Abstract:
The application of correlation dimension in the fault diagnosis of pressure value and speed control value is investigated,and the collected information is analyzed according to the actual conditions in fault diagnosis.Also the technical route and method about the application of correlation dimension in the fault diagnosis of hydraulic components is given.The results show that the mechanism of different faults for hydraulic values differs,and often their correlation dimensions are also different,so the correlation dimension can be used to extract the feature of the faults.In the normal state,the correlation dimension of the displacement and acceleration signals,D2,is smaller than 2; in the fault,the correlation dimension,D2,is greater than 2.By the analysis of the correlation dimension of the acceleration signal,it can be judged whether there is a fault for a measured hydraulic component or not.

参考文献/References:

[1] 刘少谦, 黄宜坚. 应用时间序列分析的液压溢流阀故障诊断法 [J]. 华侨大学学报(自然科学版), 2007(3):228-231.doi:10.3969/j.issn.1000-5013.2007.03.002.
[2] ALBERTO R N, MARIA-ELENA M O. A method for the correlation dimension estimation for on-line condition monitoring of large rotating machinery [J]. Mechanical Systems and Signal Processiong, 2005(5):939-954.
[3] 谢向荣, 陈洪峰, 朱石宝. 关联维数在齿轮箱振动信号特征提取中的应用 [J]. 海军工程大学学报, 2005(6):102-107.doi:10.3969/j.issn.1009-3486.2005.06.021.
[4] ZHU H, GE Shi-rong, CAO Xi-chuan. The changes of fractal dimensions of frictional signals in the running-in wear process [J]. Wear, 2007, (7/12):1502-1507.doi:10.1016/j.wear.2007.02.011.
[5] 汪慰军, 陈进, 吴昭同. 关联维数的计算及其在大机组故障诊断中的应用 [J]. 上海交通大学学报, 2000(9):1265-1268.doi:10.3321/j.issn:1006-2467.2000.09.027.
[6] PISARENKO D V, PISAREKO V F. Statistical estimation of the correlation dimension [J]. Physics Letters A, 1995(1):31-39.doi:10.1016/0375-9601(94)00923-D.
[7] MEYER Y. Wavelets algorithms and applications [M]. New York:Society for Industrial and Applied Mathematics Philadelphia, 1993.
[8] 徐玉秀, 杨文平, 任立义. 关联维数及其在故障诊断中的应用研究 [J]. 振动、测试与诊断, 2001(4):275-296.
[9] 蔡奇志, 黄宜坚. 三谱切片在调速阀故障诊断中的应用 [J]. 华侨大学学报（自然科学版）, 2009(1):16-21.

相似文献/References:

[1]李志农,刘立州.分数阶经验模态分解方法在机械故障诊断中应用[J].华侨大学学报(自然科学版),2010,31(4):367.[doi:10.11830/ISSN.1000-5013.2010.04.0367]
　LI Zhi-nong,LIU Li-zhou.Application of the Method of Fractional Empirical Mode Decomposition to Machine Fault Diagnosis[J].Journal of Huaqiao University(Natural Science),2010,31(4):367.[doi:10.11830/ISSN.1000-5013.2010.04.0367]
[2]王理停,黄宜坚.关联维数的超声波电机故障诊断[J].华侨大学学报(自然科学版),2011,32(4):368.[doi:10.11830/ISSN.1000-5013.2011.04.0368]
　WANG Li-ting,HUANG Yi-jian.Fault Diagnosis of Ultrasonic Motor Based on Correlation Dimension[J].Journal of Huaqiao University(Natural Science),2011,32(4):368.[doi:10.11830/ISSN.1000-5013.2011.04.0368]
[3]付宝英,王启志.改进型补偿模糊神经网络故障诊断系统[J].华侨大学学报(自然科学版),2012,33(1):1.[doi:10.11830/ISSN.1000-5013.2012.01.0001]
　FU Bao-ying,WANG Qi-zhi.Study of Fault Diagnosis System Based on Improved Compensatory Fuzzy Neural Network[J].Journal of Huaqiao University(Natural Science),2012,33(4):1.[doi:10.11830/ISSN.1000-5013.2012.01.0001]
[4]朱明,李志农,何旭平,等.广义S变换在转子碰摩故障诊断中的应用[J].华侨大学学报(自然科学版),2014,35(2):127.[doi:10.11830/ISSN.1000-5013.2014.02.0127]
　ZHU Ming,LI Zhi-nong,HE Xu-ping,et al.Application of Generalized S-Transformation in Rotor Rub-Impact Fault Diagnosis[J].Journal of Huaqiao University(Natural Science),2014,35(4):127.[doi:10.11830/ISSN.1000-5013.2014.02.0127]
[5]叶丹丹,罗继亮.利用Petri网特征结构的故障诊断方法[J].华侨大学学报(自然科学版),2015,36(预先出版):0.
　YE Dan-dan,LUO Ji-liang.Method for Fault Diagnosis Based on Characteristic Structure of Petri Nets[J].Journal of Huaqiao University(Natural Science),2015,36(4):0.
[6]叶丹丹,罗继亮.利用Petri网特征结构的故障诊断方法[J].华侨大学学报(自然科学版),2014,35(4):378.[doi:10.11830/ISSN.1000-5013.2014.04.0378]
　YE Dan-dan,LUO Ji-liang.Method for Fault Diagnosis Using Characteristic Structure of Petri Nets[J].Journal of Huaqiao University(Natural Science),2014,35(4):378.[doi:10.11830/ISSN.1000-5013.2014.04.0378]
[7]李军,李佳,张世义,等.采用EEMD算法与互信息法的机械故障诊断方法[J].华侨大学学报(自然科学版),2018,39(1):7.[doi:10.11830/ISSN.1000-5013.201706091]
　LI Jun,LI Jia,ZHANG Shiyi,et al.Mechanical Fault Diagnosis Method Using EEMD Algorithm and Mutual Information Method[J].Journal of Huaqiao University(Natural Science),2018,39(4):7.[doi:10.11830/ISSN.1000-5013.201706091]

备注/Memo

备注/Memo:
福建省高新技术计划重点项目(2005H035)
更新日期/Last Update: 2014-03-23