SIA OpenIR  > 空间自动化技术研究室
Alternative TitleFault Diagnosis Method Based on Deep Learning
蒋强1; 沈林1; 张伟2; 何旭2
Source Publication计算机仿真
Contribution Rank2
Keyword深度学习 故障诊断 栈式编码器
Other AbstractA method of fault diagnosis combining depth learning with softmax classifier is proposed to solve the problem that the diagnosis effect is not satisfactory in the process of dealing with large a mount of data and complex sample structure. Firstly, this method can maximize the hidden features of mining data by using deep learning processing which fully reflects the expression of the samples and achieves feature extraction effectively. Then the strategy of combining the pre-training and fine-tuning was used to train fault diagnosis models. Finally, the softmax classifier was used to output the fault results. In order to improve the stability of the fault diagnosis model and simplify the training process, the deep learning network method used stacked encoder depth network. Also, in the simulation, the fault diagnosis model was compared with the simple softmax classifier diagnosis model. The results show that the diagnostic accuracy of this method has been significantly improved, and it is able to meet the demand of complex industrial process fault diagnosis.
Document Type期刊论文
Corresponding Author蒋强
Recommended Citation
GB/T 7714
蒋强,沈林,张伟,等. 基于深度学习的故障诊断方法研究[J]. 计算机仿真,2018,35(7):409-413.
APA 蒋强,沈林,张伟,&何旭.(2018).基于深度学习的故障诊断方法研究.计算机仿真,35(7),409-413.
MLA 蒋强,et al."基于深度学习的故障诊断方法研究".计算机仿真 35.7(2018):409-413.
Files in This Item: Download All
File Name/Size DocType Version Access License
基于深度学习的故障诊断方法研究.pdf(948KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[蒋强]'s Articles
[沈林]'s Articles
[张伟]'s Articles
Baidu academic
Similar articles in Baidu academic
[蒋强]'s Articles
[沈林]'s Articles
[张伟]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[蒋强]'s Articles
[沈林]'s Articles
[张伟]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 基于深度学习的故障诊断方法研究.pdf
Format: Adobe PDF
All comments (0)
No comment.

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