{"title":"Research on the health status monitoring model and monitoring system of destruction equipment for high-risk goods based on the fuzzy combination mode","authors":"Hongyuan Zhang, Yanliang Li, Jing Zhang","doi":"10.1109/PHM.2012.6228825","DOIUrl":null,"url":null,"abstract":"The high-risk and complexity of highly dangerous goods destruction need urgently a deep analysis and judgment to the variety health status of destroyed equipment in operation to ensure the operations safety,so the health status monitoring model of destruction equipment was constructed. In this paper it determined the operating status monitoring parameters and equipment unit parameters by reliability and pre-risk analysis, studied the health trends judgment methods of operating status parameters by statistical process control (SPC) and equipment PLC combination, the health status analysis methods of the operating state parameters subsystem related equipment based on the Profust. Finally it composed both analysis methods to judge the health status of destroyed equipment. While it builds the health status monitoring network of destruction equipment, the hardware and software part of actual destruction system. The model provides a new way for the establishment of high-risk operations equipment health status monitoring systems based on PHM.","PeriodicalId":444815,"journal":{"name":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM.2012.6228825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The high-risk and complexity of highly dangerous goods destruction need urgently a deep analysis and judgment to the variety health status of destroyed equipment in operation to ensure the operations safety,so the health status monitoring model of destruction equipment was constructed. In this paper it determined the operating status monitoring parameters and equipment unit parameters by reliability and pre-risk analysis, studied the health trends judgment methods of operating status parameters by statistical process control (SPC) and equipment PLC combination, the health status analysis methods of the operating state parameters subsystem related equipment based on the Profust. Finally it composed both analysis methods to judge the health status of destroyed equipment. While it builds the health status monitoring network of destruction equipment, the hardware and software part of actual destruction system. The model provides a new way for the establishment of high-risk operations equipment health status monitoring systems based on PHM.