Ruijun Dou, Tianji Feng, M. Zhou, Qin Xu, Liang Kou
{"title":"Research on working condition transformation of Huangshan test bench based on Markov braking vibration noise","authors":"Ruijun Dou, Tianji Feng, M. Zhou, Qin Xu, Liang Kou","doi":"10.1145/3560453.3560462","DOIUrl":null,"url":null,"abstract":"In order to realize the purpose of early braking vibration and noise verification and assist in model selection, data screening and kinematic segment division of the collected vehicle brake Huangshan braking load spectrum were carried out, and the Markov working condition was used to construct the theory, and the state transition probability matrix was carried out. build, and apply the stochastic case construction method for candidate case construction.Cluster analysis is performed on the constructed candidate working conditions, the final transformation working condition is selected, and the transformation working condition is formulated as the inertia test bench working condition.Finally, the same samples were subjected to inertia bench test and vehicle road test respectively, and the test results of the two were compared and analyzed. It can be seen from the analysis results that the converted bench conditions can reproduce the problems found in the vehicle test to a certain extent.Through the conversion conditions of this study, it can realize the preliminary verification for the main engine factory in the early stage of brake system selection, find and solve most of the vibration and noise problems of the selected samples, shorten the development cycle and save the development cost.","PeriodicalId":345436,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Robotics Systems and Vehicle Technology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 3rd International Conference on Robotics Systems and Vehicle Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3560453.3560462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to realize the purpose of early braking vibration and noise verification and assist in model selection, data screening and kinematic segment division of the collected vehicle brake Huangshan braking load spectrum were carried out, and the Markov working condition was used to construct the theory, and the state transition probability matrix was carried out. build, and apply the stochastic case construction method for candidate case construction.Cluster analysis is performed on the constructed candidate working conditions, the final transformation working condition is selected, and the transformation working condition is formulated as the inertia test bench working condition.Finally, the same samples were subjected to inertia bench test and vehicle road test respectively, and the test results of the two were compared and analyzed. It can be seen from the analysis results that the converted bench conditions can reproduce the problems found in the vehicle test to a certain extent.Through the conversion conditions of this study, it can realize the preliminary verification for the main engine factory in the early stage of brake system selection, find and solve most of the vibration and noise problems of the selected samples, shorten the development cycle and save the development cost.