{"title":"大型复杂设备预测与健康监测系统研究","authors":"Jinyu Zhang, Xianxiang Huang, W. Cai","doi":"10.1109/CASE.2009.39","DOIUrl":null,"url":null,"abstract":"Prognostic and health monitoring (PHM) is the latest development of large complex equipment management. An extensible distributed prognostic and health monitoring system based on hybrid wireless network techniques was studied and designed in this paper. Firstly,after a careful analysis on the structure and tasks of the equipment, the general PHM framework of large complex equipment is proposed. Then the technical program and network of system are presented. The corresponding on-line monitoring, diagnosis and management system are designed.And the fault prediction technologies are discussed. Finally,the health management and decision system is studied. Anew technical plan that skillfully combines knowledge base,model base, database, their management systems and inference engine is proposed. And the realization is introduced. The results of practical operation show that,because of the using of hybrid wireless network, embedded system, prognostic and intelligent diagnosis, the system maybe flexibly deployed, have powerful capability of monitoring,diagnosis and management, and can implement expeditious and accurate prognostic and fault diagnosis for large complex equipment system.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Research on Prognostic and Health Monitoring System for Large Complex Equipment\",\"authors\":\"Jinyu Zhang, Xianxiang Huang, W. Cai\",\"doi\":\"10.1109/CASE.2009.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prognostic and health monitoring (PHM) is the latest development of large complex equipment management. An extensible distributed prognostic and health monitoring system based on hybrid wireless network techniques was studied and designed in this paper. Firstly,after a careful analysis on the structure and tasks of the equipment, the general PHM framework of large complex equipment is proposed. Then the technical program and network of system are presented. The corresponding on-line monitoring, diagnosis and management system are designed.And the fault prediction technologies are discussed. Finally,the health management and decision system is studied. Anew technical plan that skillfully combines knowledge base,model base, database, their management systems and inference engine is proposed. And the realization is introduced. The results of practical operation show that,because of the using of hybrid wireless network, embedded system, prognostic and intelligent diagnosis, the system maybe flexibly deployed, have powerful capability of monitoring,diagnosis and management, and can implement expeditious and accurate prognostic and fault diagnosis for large complex equipment system.\",\"PeriodicalId\":294566,\"journal\":{\"name\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE.2009.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2009.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Prognostic and Health Monitoring System for Large Complex Equipment
Prognostic and health monitoring (PHM) is the latest development of large complex equipment management. An extensible distributed prognostic and health monitoring system based on hybrid wireless network techniques was studied and designed in this paper. Firstly,after a careful analysis on the structure and tasks of the equipment, the general PHM framework of large complex equipment is proposed. Then the technical program and network of system are presented. The corresponding on-line monitoring, diagnosis and management system are designed.And the fault prediction technologies are discussed. Finally,the health management and decision system is studied. Anew technical plan that skillfully combines knowledge base,model base, database, their management systems and inference engine is proposed. And the realization is introduced. The results of practical operation show that,because of the using of hybrid wireless network, embedded system, prognostic and intelligent diagnosis, the system maybe flexibly deployed, have powerful capability of monitoring,diagnosis and management, and can implement expeditious and accurate prognostic and fault diagnosis for large complex equipment system.