[1]陈建灿,刘晓梅.运用EMD分形盒维数的电梯机械故障诊断[J].华侨大学学报(自然科学版),2013,34(5):494-499.[doi:10.11830/ISSN.1000-5013.2013.05.0494]
　CHEN Jian-can,LIU Xiao-mei.Application of EMD and Box Dimension in Fault Diagnosis of Elevator Machinery[J].Journal of Huaqiao University(Natural Science),2013,34(5):494-499.[doi:10.11830/ISSN.1000-5013.2013.05.0494]
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运用EMD分形盒维数的电梯机械故障诊断()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第34卷
期数:
2013年第5期
页码:
494-499
栏目:
出版日期:
2013-09-20

文章信息/Info

Title:
Application of EMD and Box Dimension in Fault Diagnosis of Elevator Machinery
文章编号:
1000-5013(2013)05-0494-06
作者:
陈建灿;  刘晓梅
华侨大学 机电及自动化学院, 福建 厦门 361021
Author(s):
CHEN Jian-can;  LIU Xiao-mei
College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
关键词:
电梯;  经验模态分解;  盒维数;  故障诊断
Keywords:
elevator;  empirical mode decomposition;  box dimension;  fault diagnosis
分类号:
TH211.6;TH165.3
DOI:
10.11830/ISSN.1000-5013.2013.05.0494
文献标志码:
A
摘要:
针对电梯机械故障的诊断,提出经验模态分解(EMD)和分形盒维数的诊断方法.利用EMD对电梯正常运行和各故障工况时的加速度信号按频率高低依次分解,得到分解后的固有模态函数(IMF).通过信号重组得到去除背景信号和噪声后的振动信号,再利用分形盒维数计算其重组信号和各分量IMF的盒维数.实验计算表明:各工况的盒维数具有良好有效的区分度和区间范围.
Abstract:
For the elevator machinery fault diagnosis, a method of empirical mode decomposition(EMD)and box dimension is presented in this paper. It uses EMD to decompose the acceleration signals of normal and failure conditions of the elevator, and the component IMF is gained. Through the recombination of signals, the vibration signals after removing the background signals and noise are obtained, and then uses the box dimension to calculate the signals and the component IMF. Experimental results show that, the box dimension under normal and failure conditions have good effective discriminations and ranges.

参考文献/References:

[1] 李舜酩,李香莲.振动信号的现代分析技术与应用[M].北京:国防工业出版社,2008:165-200,224-230,277-279.
[2] 关山,王龙山,聂鹏.基于EMD与LS_SVM的刀具磨损识别方法[J].北京航空航天大学学报,2011,37(2):144-148.
[3] 张琳,黄敏.基于EMD与切片双谱的轴承故障诊断方法[J].北京航空航天大学学报,2010,36(3):287-290.
[4] 郝研,王太勇,万剑,等.分形盒维数抗噪研究及其在故障诊断中的应用[J].仪器仪表学报,2011,32(3):540-545.
[5] 樊福梅,梁平,吴庚申.基于分形盒维数的汽轮机转子振动故障诊断的实验研究[J].核动力工程,2006,27(1):85-89.

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备注/Memo

备注/Memo:
收稿日期: 2012-09-17
通信作者: 刘晓梅(1970-),女,副教授,主要从事时间序列高阶谱分析的研究.E-mail:liuxm@hqu.edu.cn.
基金项目: 国家自然科学基金资助项目(50975098); 福建省自然科学基金资助项目(2012J01213)
更新日期/Last Update: 2013-09-20