{"title":"基于灰色模型和数据融合的导弹制导系统故障实时预测技术研究","authors":"Xinguo Wang, Aihua Li, Xiaoping Zhou, Hualong Xu","doi":"10.1109/SNPD.2007.18","DOIUrl":null,"url":null,"abstract":"To solve fault forecast in missile guidance system, a new fault forecast method was presented, in which the grey system and multiple-sensor data fusion were used. Grey Model (GM) forecast is invalid when the data sequence is zero-mean random process, to overcome the drawback, present an improved GM method. The simulation results show the fault forecast method has better performance in missile guidance systems.","PeriodicalId":197058,"journal":{"name":"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research of Real-time Forecast Technology in Fault of Missile Guidance System Based on Grey Model and Data Fusion\",\"authors\":\"Xinguo Wang, Aihua Li, Xiaoping Zhou, Hualong Xu\",\"doi\":\"10.1109/SNPD.2007.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve fault forecast in missile guidance system, a new fault forecast method was presented, in which the grey system and multiple-sensor data fusion were used. Grey Model (GM) forecast is invalid when the data sequence is zero-mean random process, to overcome the drawback, present an improved GM method. The simulation results show the fault forecast method has better performance in missile guidance systems.\",\"PeriodicalId\":197058,\"journal\":{\"name\":\"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2007.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2007.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of Real-time Forecast Technology in Fault of Missile Guidance System Based on Grey Model and Data Fusion
To solve fault forecast in missile guidance system, a new fault forecast method was presented, in which the grey system and multiple-sensor data fusion were used. Grey Model (GM) forecast is invalid when the data sequence is zero-mean random process, to overcome the drawback, present an improved GM method. The simulation results show the fault forecast method has better performance in missile guidance systems.
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