基于非平稳信号组合分析的故障诊断方法

陈哲; 胡玉其; 田世庆; 陆慧敏; 徐立中

doi:10.11959/j.issn.1000-436x.2020099

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基于非平稳信号组合分析的故障诊断方法

学术通信 | 更新时间：2024-06-05

- 基于非平稳信号组合分析的故障诊断方法
- Non-stationary signal combined analysis based fault diagnosis method
- 通信学报 2020年41卷第5期页码：187-195
- 作者机构：
  
  1. 河海大学计算机与信息学院，江苏南京 211100
  2. 日本九州工业大学机械智能工学研究系，北九州 804-8550
- 作者简介：
  
  [ "陈哲（1983- ），男，江苏徐州人，博士，河海大学副教授，主要研究方向为智能信息获取与处理、模式识别与复杂系统" ]
  [ "胡玉其（1996- ），男，山东济宁人，河海大学硕士生，主要研究方向为智能信号处理、故障诊断" ]
  [ "田世庆（1997- ），男，江苏南通人，河海大学硕士生，主要研究方向为大数据分析、数据挖掘、故障诊断" ]
  [ "陆慧敏（1982- ），男，江苏扬州人，日本九州工业大学副教授，主要研究方向为机器视觉、共融机器人、人工智能、物联网和海洋观测" ]
  [ "徐立中（1958- ），男，山东东营人，博士，河海大学教授、博士生导师，主要研究方向为遥感遥测信号处理、多源传感器信息融合、信息处理系统及应用、系统建模与仿真" ]
- 基金信息：
  
  国家自然科学基金资助项目(61903124);国家自然科学基金资助项目(61671201)
- DOI：10.11959/j.issn.1000-436x.2020099
  中图分类号： TP391
- 网络出版日期：2020-05，
  
  纸质出版日期：2020-05-25
- 稿件说明：
移动端阅览
陈哲, 胡玉其, 田世庆, 等. 基于非平稳信号组合分析的故障诊断方法[J]. 通信学报, 2020,41(5):187-195.

Zhe CHEN, Yuqi HU, Shiqing TIAN, et al. Non-stationary signal combined analysis based fault diagnosis method[J]. Journal on communications, 2020, 41(5): 187-195.
陈哲, 胡玉其, 田世庆, 等. 基于非平稳信号组合分析的故障诊断方法[J]. 通信学报, 2020,41(5):187-195. DOI： 10.11959/j.issn.1000-436x.2020099.

Zhe CHEN, Yuqi HU, Shiqing TIAN, et al. Non-stationary signal combined analysis based fault diagnosis method[J]. Journal on communications, 2020, 41(5): 187-195. DOI： 10.11959/j.issn.1000-436x.2020099.

摘要

鉴于深度学习、频谱、时频分析方法间的优势互补，设计了由卷积网络、傅里叶变换和小波包分解组合的多流分析处理框架，对非平稳信号进行组合分析。提出了一种基于非平稳信号组合分析的故障诊断方法，提取信号的多属性特征并加权融合。应用于故障诊断的实验结果表明，所提出的信号组合分析方法能够更加稳定、准确地刻画故障类型，在不显著增加计算复杂度的前提下有效提高了故障诊断的分类准确率。

Abstract

Considering the complementarity between the deep learning

spectrum and time frequency analysis methods

a multi-stream framework was designed by combining the convolutional network

Fourier transform and wavelet package decomposition methods

with the aim to analyze the non-stationary signal.Accordingly

a none-stationary signal combined analysis based fault diagnosis method was proposed to extract features in difference aspects.The fault diagnosis experiments demonstrate that the combined analysis method can efficiently and stably depict the fault and significantly improve the performance of fault diagnosis.

关键词

Keywords

references

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