NIAOT OpenIR
A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples
Hou X(侯旭); Du FJ(杜福嘉); Huang K(黄康)
2023-12
Source PublicationIEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume72Issue:*Pages:1-14
Abstract

The current-based fault diagnosis method is a feasi ble way to replace the conventional vibration-based method,as it is more economical,implemental,and reliable.With the deep learning(DL)method applied,the current-based methods have achieved satisfactory diagnosis accuracy.DL methods,however, demand large quantities of training samples,which are difficult to implement in real industrial sites.To tackle this problem,this article proposes a novel lightweight fault diagnosis method based on a convolutional neural network(CNN),called CombFilterNet (CF-Net).The first convolutional layer of CF-Net is called comb filter layer(CF-layer),where the convolution kernel is the comb filter kernel(CF-kernel).Each CF-kernel only has three parameters to be updated,achieving a lightweight design that makes CF-Net suitable for limited training sample conditions. The effectiveness and generalization ability of the proposed method are validated by a laboratory-acquired current dataset and an open-source vibration dataset.The results demonstrate that the proposed method is superior to the comparative methods under limited training sample conditions.

KeywordComb filter kernel(CF-kernel) motor current signal analysis convolutional neural network(CNN) fault diagnosis limited training sample
Document Type期刊论文
Identifierhttp://ir.niaot.ac.cn/handle/114a32/2113
Collection中国科学院南京天文光学技术研究所知识成果
期刊论文
Affiliation南京天文光学技术研究所
Recommended Citation
GB/T 7714
Hou X,Du FJ,Huang K. A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2023,72(*):1-14.
APA Hou X,Du FJ,&Huang K.(2023).A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,72(*),1-14.
MLA Hou X,et al."A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 72.*(2023):1-14.
Files in This Item: Download All
File Name/Size DocType Version Access License
A Current-Based Faul(4534KB)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
[Hou X(侯旭)]'s Articles
[Du FJ(杜福嘉)]'s Articles
[Huang K(黄康)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hou X(侯旭)]'s Articles
[Du FJ(杜福嘉)]'s Articles
[Huang K(黄康)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hou X(侯旭)]'s Articles
[Du FJ(杜福嘉)]'s Articles
[Huang K(黄康)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: A Current-Based Fault Diagnosis Method for__Rotating Machinery With Limited Training Samples.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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