{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:01:46Z","timestamp":1777705306666,"version":"3.51.4"},"reference-count":13,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2024,2,14]]},"abstract":"<jats:p>To improve the accuracy of fault diagnosis for recoil systems under multiple operating conditions, a fuzzy RBF neural network (Radial Basis Function, RBF) fault diagnosis method based on knowledge and data fusion is proposed. A kinetic model for the recoil system is first established to describe the system\u2019s behavior. Next, fuzzy RBF neural network is used to establish the relationship between abnormal operating parameters and fault causes, achieving a fault cause diagnosis accurately based on the integration of expert experience knowledge and system operation data. A study case demonstrate that the algorithm has strong knowledge and data fusion capabilities and can effectively identify faults in recoil system.<\/jats:p>","DOI":"10.3233\/jifs-230683","type":"journal-article","created":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T10:42:35Z","timestamp":1704451355000},"page":"4981-4994","source":"Crossref","is-referenced-by-count":1,"title":["Fuzzy RBF neural network fault diagnosis method based on knowledge and data fusion for the recoil system"],"prefix":"10.1177","volume":"46","author":[{"given":"Xiangfei","family":"Yang","sequence":"first","affiliation":[{"name":"Laboratory of Industrial and Intelligent System Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"}]},{"given":"Faping","family":"Zhang","sequence":"additional","affiliation":[{"name":"Laboratory of Industrial and Intelligent System Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"}]},{"given":"Jianfeng","family":"Wei","sequence":"additional","affiliation":[{"name":"Laboratory of Industrial and Intelligent System Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"}]}],"member":"179","reference":[{"issue":"9","key":"10.3233\/JIFS-230683_ref4","first-page":"92","article-title":"Vibration signal of recoil mechanism de-noising processing based on wavelet analysis","volume":"26","author":"Mengchun Zhong","year":"2013","journal-title":"Industrial Control Computer"},{"key":"10.3233\/JIFS-230683_ref5","first-page":"69","article-title":"Fault diagnoisis method of recoil mechanism based on improved generic algorithm,","volume":"2","author":"Jianping Fu","year":"2007","journal-title":"Journal of Gun Launch & Control"},{"issue":"11","key":"10.3233\/JIFS-230683_ref9","first-page":"53","article-title":"Gun recoil system inverse question solution based on Simulink","volume":"37","author":"Zhonghua Du","year":"2010","journal-title":"Mechanical"},{"issue":"11","key":"10.3233\/JIFS-230683_ref10","first-page":"45","article-title":"Simulation of Gun Recoil Devices Based on Simulink","volume":"31","author":"Weiguo He","year":"2012","journal-title":"Ordnance Industry Automation"},{"issue":"3","key":"10.3233\/JIFS-230683_ref11","first-page":"432","article-title":"Strctural multi-objective optimization of artillery recoil mechanism based on genetic algorithm","volume":"36","author":"Le Zhou","year":"2015","journal-title":"ACTA Armamentarii"},{"issue":"5","key":"10.3233\/JIFS-230683_ref12","first-page":"1243","article-title":"Design and implement of tank recoil mechanism\u2019s technical condition monitoring system","volume":"21","author":"Mengchun Zhong","year":"2013","journal-title":"Computer Measurment & Control"},{"issue":"3","key":"10.3233\/JIFS-230683_ref13","first-page":"99","article-title":"Reserch on fault diagnosis method of self-propelled gun engine multi-state parameters fusion","volume":"40","author":"Xu Li","year":"2019","journal-title":"Journal of Gun Launch & Control"},{"issue":"8","key":"10.3233\/JIFS-230683_ref15","first-page":"22","article-title":"Simulation analysis of soft recoil gun devices based on simulink","volume":"39","author":"Kai Qin","year":"2020","journal-title":"Ordnance Industry Automation"},{"issue":"6","key":"10.3233\/JIFS-230683_ref17","first-page":"771","article-title":"Influnce of variable firing rate and new friction damping buffer parameters on recoil force of automatic gun","volume":"42","author":"Junbo Xiao","year":"2018","journal-title":"Journal of Nanjing University of Science and Technology"},{"issue":"3","key":"10.3233\/JIFS-230683_ref19","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.eswa.2007.09.026","article-title":"An adaptive fusion algorithm based on ANFIS for radar\/infrared system","volume":"36","author":"Yuan","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"12","key":"10.3233\/JIFS-230683_ref20","doi-asserted-by":"crossref","first-page":"8770","DOI":"10.1016\/j.eswa.2010.06.030","article-title":"Improving fuzzy knowledge integration with particle swarmoptimization[J]","volume":"37","author":"Huang","year":"2010","journal-title":"Expert Systems with Applications"},{"issue":"6","key":"10.3233\/JIFS-230683_ref21","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1016\/j.camwa.2008.10.054","article-title":"State fusion of fuzzy automata with application on target tracking[J]","volume":"57","author":"Wu","year":"2009","journal-title":"Computers & Mathematics with Applications"},{"issue":"280","key":"10.3233\/JIFS-230683_ref22","first-page":"732","article-title":"A New Engine Fault Diagnosis Method Based on Multi-Sensor Data Fusion[J]","volume":"7","author":"Wen Jiang","year":"2017","journal-title":"Applied Sciences"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-230683","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:43:28Z","timestamp":1777455808000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-230683"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,14]]},"references-count":13,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/jifs-230683","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,14]]}}}