{"title":"Study on dynamic fault tree based mechanical abnormal running state detection method","authors":"Meixuan Li","doi":"10.1109/ICVRIS51417.2020.00183","DOIUrl":null,"url":null,"abstract":"Because of the low sensitivity of the traditional method, the error of the detection result is large. In view of the above problems, the detection method of mechanical abnormal operation state based on dynamic fault tree is studied. The dynamic fault tree of mechanical operation state is established, and the dynamic fault tree is modularized, decomposed and quantitatively analyzed. The dynamic fault tree is input into the computer, and combined with the characteristics of mechanical fault signal, the detection of mechanical abnormal operation state is realized. The experimental results show that the proposed method has smaller detection error and higher sensitivity.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS51417.2020.00183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Because of the low sensitivity of the traditional method, the error of the detection result is large. In view of the above problems, the detection method of mechanical abnormal operation state based on dynamic fault tree is studied. The dynamic fault tree of mechanical operation state is established, and the dynamic fault tree is modularized, decomposed and quantitatively analyzed. The dynamic fault tree is input into the computer, and combined with the characteristics of mechanical fault signal, the detection of mechanical abnormal operation state is realized. The experimental results show that the proposed method has smaller detection error and higher sensitivity.