SIA OpenIR  > 智能检测与装备研究室
基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术
Alternative TitleFault Diagnosis Technology of Rolling Bearings Based on Lossless-constraint Denoising Sparse Autoencoder
张万智1,2; 杜劲松1; 李兴强1
Department智能检测与装备研究室
Source Publication科学技术与工程
ISSN1671-1815
2019
Volume19Issue:4Pages:185-190
Keyword故障诊断 稀疏自编码 无损约束降噪 噪声鲁棒性
Abstract在滚动轴承故障诊断过程中,时域振动信号容量大且易受噪声污染,难以建立准确的故障诊断模型。针对上述难题,采用无损约束降噪方法对稀疏自编码进行优化,提出了基于无损约束降噪稀疏自编码的滚动轴承故障诊断方法。该方法可直接作用于时域振动信号,消除对人工特征提取的依赖性,无须降噪预处理,降低了故障诊断模型建立的难度。为验证本方法的有效性,利用滚动轴承时域振动信号进行仿真实验,并对诊断过程中学习到的故障特征进行可视化分析。实验结果表明,本方法可以在噪声数据下建立有效的故障诊断模型,且比传统的栈式稀疏自编码诊断算法具有更强的噪声鲁棒性。
Other AbstractIn the process of rolling bearing fault diagnosis,the time domain vibration signal has large capacity and easily suffers from noise pollution so that it is difficult to establish an accurate fault diagnosis model. To solve the above problems,the lossless-constraint denoising method was used to optimize sparse autoencoder. And a fault diagnosis method for rolling bearing based on lossless-constraint denoising sparse autoencoder is proposed. The method can directly be applied to the time domain vibration signal,thus eliminating the dependence on the artificial feature extraction,and this method does not need the noise reduction preprocessing,which reduces the difficulty of establishing the fault diagnosis model. In order to prove the effectiveness of the method,the time domain vibration signal of the rolling bearing was used to carry out the simulation experiment,the fault characteristics learned during the diagnosis process was visually analyzed. The experimental results show that the proposed method can establish an effective fault diagnosis model with noise data and has stronger noise robustness than the traditional stack sparse autoencoder diagnostic algorithm.
Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24226
Collection智能检测与装备研究室
Corresponding Author杜劲松
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院大学
Recommended Citation
GB/T 7714
张万智,杜劲松,李兴强. 基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术[J]. 科学技术与工程,2019,19(4):185-190.
APA 张万智,杜劲松,&李兴强.(2019).基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术.科学技术与工程,19(4),185-190.
MLA 张万智,et al."基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术".科学技术与工程 19.4(2019):185-190.
Files in This Item: Download All
File Name/Size DocType Version Access License
基于无损约束降噪稀疏自编码的滚动轴承故障(2206KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[张万智]'s Articles
[杜劲松]'s Articles
[李兴强]'s Articles
Baidu academic
Similar articles in Baidu academic
[张万智]'s Articles
[杜劲松]'s Articles
[李兴强]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[张万智]'s Articles
[杜劲松]'s Articles
[李兴强]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 基于无损约束降噪稀疏自编码的滚动轴承故障诊断技术.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.