Fault diagnosis of electro‐hydraulic servo valve using extreme learning machine

International Transactions on Electrical Energy SystemsVolume 30, Issue 7 e12419 RESEARCH ARTICLE Fault diagnosis of electro-hydraulic servo valve using extreme learning machine Chao Liu, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013 ChinaSearch for more papers by this authorYunfang Wang, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013 ChinaSearch for more papers by this authorTianhong Pan, Corresponding Author thpan@ahu.edu.cn orcid.org/0000-0002-0993-3937 School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013 China School of Electrical Engineering and Automation, Anhui University, Hefei, Anhui, 230061 China Correspondence Tianhong Pan, School of Electrical Engineering and Automation, Anhui University, Hefei, Anhui 230061, China. Email: thpan@ahu.edu.cnSearch for more papers by this authorGang Zheng, Zhenjiang Silian Mechatronic Technology Co., Ltd., Zhenjiang, Jiangsu, 212000 ChinaSearch for more papers by this author Chao Liu, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013 ChinaSearch for more papers by this authorYunfang Wang, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013 ChinaSearch for more papers by this authorTianhong Pan, Corresponding Author thpan@ahu.edu.cn orcid.org/0000-0002-0993-3937 School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013 China School of Electrical Engineering and Automation, Anhui University, Hefei, Anhui, 230061 China Correspondence Tianhong Pan, School of Electrical Engineering and Automation, Anhui University, Hefei, Anhui 230061, China. Email: thpan@ahu.edu.cnSearch for more papers by this authorGang Zheng, Zhenjiang Silian Mechatronic Technology Co., Ltd., Zhenjiang, Jiangsu, 212000 ChinaSearch for more papers by this author First published: 07 April 2020 https://doi.org/10.1002/2050-7038.12419Citations: 4 Peer Review The peer review history for this article is available at https://publons.com/publon/10.1002/2050-7038.12419. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Summary An electro-hydraulic servo valve (EHSV) is a core component of an electro-hydraulic servo system, the function of which directly affects the reliability and performance of the system. To distinguish the fault of an EHSV, a fault diagnosis model using an extreme learning machine (ELM) is proposed in this article. First, the structure and working principle of the EHSV are described. Next, a fault diagnosis model constructed using an ELM is proposed, in which the no-load flow characteristic curve is taken as the input and the corresponding category label is taken as the output. Using a brute force method, the activation functions and number of hidden layer nodes in the ELM are set. Compared with a model built using a support vector machine with a genetic algorithm, the proposed algorithm achieves a faster training speed and higher classification accuracy. Citing Literature Volume30, Issue7Special Issue: Data Analytics and Machine Learning for the Energy InternetJuly 2020e12419 RelatedInformation