[1]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):368-372.[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):368-372.[doi:10.11830/ISSN.1000-5013.2011.04.0368]
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关联维数的超声波电机故障诊断()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第32卷
期数:
2011年第4期
页码:
368-372
栏目:
出版日期:
2011-07-20

文章信息/Info

Title:
Fault Diagnosis of Ultrasonic Motor Based on Correlation Dimension
文章编号:
1000-5013(2011)04-0368-05
作者:
王理停; 黄宜坚
华侨大学机电及自动化学院
Author(s):
WANG Li-ting;  HUANG Yi-jian
College of Mechanical Engineering and Automation, Huaqiao University, Quanzhou 362021, China
关键词:
超声波电机;  故障诊断;  延迟时间;  嵌入维数;  关联维数
Keywords:
ultrasonic motor;  fault diagnosis;  delay time;  embedded dimension;  correlation dimension
分类号:
TM359.9
DOI:
10.11830/ISSN.1000-5013.2011.04.0368
文献标志码:
A
摘要:
利用关联维数分析方法对超声波电机进行故障诊断,并针对故障诊断的实际情况,建构特殊实验平台采集故障振动信号.通过互信息法及Cao方法来确定相空间重构的2个重要参数,然后计算超声波电机在不同故障状态下的关联维数.结果表明,不同故障状态产生机制不同,其关联维数也不同,关联维数可用于故障的特征提取.通过分析不同状态下超声波电机的关联维数,可以判断超声波电机是否出现故障.
Abstract:
The analysis method of correlation dimension is used in the fault diagnosis of ultrasonic motor,and a special experiment platform is built to collect fault vibration signal according to the actual conditions in fault diagnosis.The correlation dimensions of the different fault of ultrasonic motor were calculated through two important parameters of reconstruction of the phase space which were determined by the mutual information and Cao method.The results show that the mechanism of different faults for ultrasonic motor are related with their different correlation dimensions,so the correlation dimension can be used to extract the feature of the faults.By the analysis of the correlation dimension of different fault vibration signals,it can be judged whether there is a fault for ultrasonic motor or not.

参考文献/References:

[1] 郭萍萍. 浅谈超声波电机 [J]. 科技创新导报, 2010(9):103.doi:10.3969/j.issn.1674-098X.2010.09.085.
[2] 金龙, 褚国伟, 胡敏强. 超声波电机速度与定位控制系统 [J]. 中国电机工程学报, 2005(1):132-135.doi:10.3321/j.issn:0258-8013.2005.01.025.
[3] 王旭平, 王汉功, 陈小虎. 关联维数在齿轮泵故障诊断中的应用 [J]. 机床与液压, 2009(7):252-254.doi:10.3969/j.issn.1001-3881.2009.07.083.
[4] 陈俊杰, 朱晓峰, 罗安旗. 筛分机械试验台磁流变减振的关联维数分析 [J]. 混凝土, 2010(1):142-144.doi:10.3969/j.issn.1002-3550.2010.01.045.
[5] LOGAN D, MATHEW J. Using the correlation dimension for vibration fault diagnosis of rolling element bearings (I):Basic concepts [J]. Mechanical Systems and Signal Processing, 1996(3):241-250.
[6] GRASSBERGER P, PROCACCIA I. Charaterization of strange attractors [J]. Physical Review Letters, 1983(5):346-349.doi:10.1103/PhysRevLett.50.346.
[7] KANTZ H, SCHREIBER T. Dimension estimates and physiological data [J]. CHAOS, 1995(1):143-154.doi:10.1063/1.166096.
[8] 张涛, 吴令红. 相空间重构中参数的优化选取 [EB/OL]. http:∥www.paper.edu.cn, 2009.
[9] 张淑清, 贾健, 高敏. 混沌时间序列重构相空间参数选取研究 [J]. 物理学报, 2010(3):1576-1582.
[10] 赵吉文, 冯志华, 刘志刚. 混沌理论与小波包分析相结合的状态监测方法研究 [J]. 振动与冲击, 2004(4):21-25.doi:10.3969/j.issn.1000-3835.2004.04.005.
[11] 王浩, 张来斌, 王朝晖. 基于关联维数的烟气轮机故障诊断研究 [J]. 石油机械, 2008(3):65-67.

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备注/Memo

备注/Memo:
国家自然科学基金资助项目(50975098)
更新日期/Last Update: 2014-03-23