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混沌奇异谱特性研究及在滚动轴承故障诊断中的应用

张淑清 贺朋 左一格 陈荣飞 张赟 刘婉 姜万录

中国机械工程2018,Vol.29Issue(12):1398-1404,7.
中国机械工程2018,Vol.29Issue(12):1398-1404,7.DOI:10.3969/j.issn.1004-132X.2018.12.003

混沌奇异谱特性研究及在滚动轴承故障诊断中的应用

Study on Characteristics of Chaotic Singular Spectrum and Applications in Rolling Bearing Fault Diagnosis

张淑清 1贺朋 1左一格 1陈荣飞 1张赟 1刘婉 1姜万录1

作者信息

  • 1. 燕山大学电气工程学院,秦皇岛,066004
  • 折叠

摘要

Abstract

A new metric of chaos space structure—chaotic singular spectrum was researched and an early fault recognition algorithm for rolling bearings was proposed based on chaotic singular spectral fea-ture extraction.First,the singular spectrum discrete form was presented,and when studying the stability of singular spectrum,logarithmic function was introduced to observe the effects of the deviation on singu-lar spectral values more sensitively.Then,it was proved from the perspective of geometric space that the singular spectrum was a description of spatial geometry based on variance maximization,which shown that the chaotic singular spectrum was a quantitative description of spatial structure of chaotic attractor and had certain anti-noise interference ability.Numerical verifications of Lorenz system prove the stabili-ty of chaotic singular spectrum and strong anti-noise performance. After experiments, the effectiveness and practicability of this method was verified.

关键词

轴承故障特征/混沌奇异谱/稳定性/抗噪声能力/故障诊断

Key words

bearing fault characteristic/chaotic singular spectrum/stability/anti-noise ability/fault diagnosis

分类

信息技术与安全科学

引用本文复制引用

张淑清,贺朋,左一格,陈荣飞,张赟,刘婉,姜万录..混沌奇异谱特性研究及在滚动轴承故障诊断中的应用[J].中国机械工程,2018,29(12):1398-1404,7.

基金项目

国家自然科学基金资助项目(51475405) (51475405)

国家重点研发计划资助项目(2018YFB0905504) (2018YFB0905504)

河北省自然科学基金资助项目(E2018203439, E2018203339) (E2018203439, E2018203339)

河北省大智移云应用专项项目(18211833D) (18211833D)

中国机械工程

OA北大核心CSCDCSTPCD

1004-132X

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