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基于EMD与AR谱的轧机主传动系统故障诊断研究

孟宗 顾海燕 刘利晖 袁静

计量学报2011,Vol.32Issue(4):338-342,5.
计量学报2011,Vol.32Issue(4):338-342,5.DOI:10.3969/j.issn.1000-1158.2011.04.11

基于EMD与AR谱的轧机主传动系统故障诊断研究

Study on Fault Diagnosis of Main Drive System of Rolling Mill Based on EMD and AR Spectrum

孟宗 1顾海燕 1刘利晖 1袁静1

作者信息

  • 1. 燕山大学河北省测试计量技术及仪器重点实验室,河北秦皇岛066004
  • 折叠

摘要

Abstract

According to the non-stationary and non-linear characteristic of rolling mill fault signal, an analysis method based on EMD and AR spectrum is studied. First, the original vibration signals are decomposed by EMD. Subsequently, the IMFs relating to fault information are applied to AR spectrum analysis. The result of this method is the AR spectrum of relating IMFs, from which the fault frequencies can be extracted, and the locations of the faults can be identified. The method is applied to the rolling mill fault signals, then the state of the vibration can be acquired. The validity of the method is demonstrated by simulation and case analysis.

关键词

计量学/故障诊断/经验模态分解/AR谱/轧机

Key words

Metrology/ Fault diagnosis/ Empirical mode decomposition/ AR spectrum/ Rolling mill

分类

通用工业技术

引用本文复制引用

孟宗,顾海燕,刘利晖,袁静..基于EMD与AR谱的轧机主传动系统故障诊断研究[J].计量学报,2011,32(4):338-342,5.

基金项目

河北省自然科学基金-钢铁联合研究基金(F2009000500) (F2009000500)

计量学报

OA北大核心CSCDCSTPCD

1000-1158

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