{"title":"Fault forecasting of missile equipment based on improved UGM (1, m, w) model","authors":"Tingxue Xu, Jianzhong Zhao, Y. Liu, Jikun Yang","doi":"10.1109/ICQR2MSE.2012.6246337","DOIUrl":null,"url":null,"abstract":"Fault forecasting is very important to establish accurate maintenance support plan, reduce maintenance support cost, improve operational readiness rate and mission dependability rate, even avoid the huge loss for missile equipment; To resolve the problem of new-style missile equipment fault forecasting difficultly, which is induced by the complexity of system compose, fuzziness of configuration connection and incompleteness and uncertainty of character parameters, the paper put forward a new multi-variables metabolism unequal interval weight grey forecasting model (MUGM (1, m, w)) by combining the background value weight and metabolism idea. Finally the example results proved the MUGM (1, m, w) model have better forecast precision.","PeriodicalId":401503,"journal":{"name":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","volume":"348 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICQR2MSE.2012.6246337","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
Fault forecasting is very important to establish accurate maintenance support plan, reduce maintenance support cost, improve operational readiness rate and mission dependability rate, even avoid the huge loss for missile equipment; To resolve the problem of new-style missile equipment fault forecasting difficultly, which is induced by the complexity of system compose, fuzziness of configuration connection and incompleteness and uncertainty of character parameters, the paper put forward a new multi-variables metabolism unequal interval weight grey forecasting model (MUGM (1, m, w)) by combining the background value weight and metabolism idea. Finally the example results proved the MUGM (1, m, w) model have better forecast precision.
故障预测对于制定准确的维修保障计划,降低维修保障成本,提高战备就绪率和任务可靠性,避免导弹装备的巨大损失具有重要意义;为解决新型导弹装备由于系统组成的复杂性、组态连接的模糊性以及特征参数的不完全性和不确定性所导致的故障预测困难问题,将背景值权重与代谢思想相结合,提出了一种新的多变量代谢不等区间权值灰色预测模型MUGM (1, m, w)。算例结果表明,MUGM (1, m, w)模型具有较好的预测精度。