计算机与数字工程Issue(12)：2311-2315,5.DOI:10.3969/j.issn1672-9722.2014.12.020
基于非线性关联维特征提取的机械自动化监测系统
Mechanical Automatic Monitoring System Based on Nonlinear Correlation Dimension Feature Extraction
常勇智 1邱亚泽 1郑振 2涂毫杰2
作者信息
- 1. 中国石油西气东输管道公司 上海 200120
- 2. 91640部队 湛江 524064
- 折叠
摘要
Abstract
The fault feature extraction of the vibration signal of natural gas compressor in fault state is the core technol‐ogy in design of mechanical automation detection system .A mechanical automatic monitoring system is proposed based on nonlinear correlation dimension feature extraction ,the principle of fault diagnosis is analyzed ,and the time series analysis of fault vibration signals is obtained .Phase space reconstruction method of fault vibration signal is designed ,and key technolo‐gy of computing of optimal time delay and embedding dimension parameters for phase space reconstruction is improved .The correlation dimension fault feature is extracted ,and the automatic monitoring system is obtained based on Simulink platform . Experimental results show that the system can make the standard deviation of correlation dimension extraction decreased sig‐nificantly ,and the clustering ability is enhanced ,the system can effectively detect all kinds of faults ,monitoring of mechani‐cal equipment is obtained .It has better engineering practice value in the field of automatic fault diagnosis and instrument de‐sig n .关键词
非线性/关联维/特征提取/自动化设备Key words
nonlinear/correlation dimension/feature extraction/automation equipment分类
信息技术与安全科学引用本文复制引用
常勇智,邱亚泽,郑振,涂毫杰..基于非线性关联维特征提取的机械自动化监测系统[J].计算机与数字工程,2014,(12):2311-2315,5.
