{"title":"基于现场数据RAM分析结果的舰船武器系统可靠性趋势分析研究","authors":"Eun-Byeol Jo, Young-In Jung, Sung-Chul Ha","doi":"10.33162/jar.2023.6.23.2.154","DOIUrl":null,"url":null,"abstract":"Purpose: This study proposes a reliability trend analysis process of the warship weapon system using actual failure data for use in establishing a warship maintenance policy and consequently strengthening the utilization of field data RAM analysis result.BRMethods: The characteristics of the warship weapon system and the types of data that can be extracted from the field data RAM analysis results were reviewed. Based on this, methods such as annual analysis and non-dimensionalization were proposed.BRResults: The proposed method involved several processes, including data extraction from RAMVV, calculations of annual reliability, data calibration, non-dimensionalization, year calibration, and reliability trend analysis.BRConclusion: A case study was performed by applying the proposed method. The reliability of the warship weapon system continuously increased over the entire life cycle. Moreover, the trend was clearly observed in the section that included various ships; thus, it is expected that the reliability of the trend analysis will be improved through the accumulation of considerable amount of data.","PeriodicalId":499683,"journal":{"name":"Sinloeseong eung'yong yeon'gu","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Reliability Trend Analysis of Warship Weapon System Using Field Data RAM Analysis Results\",\"authors\":\"Eun-Byeol Jo, Young-In Jung, Sung-Chul Ha\",\"doi\":\"10.33162/jar.2023.6.23.2.154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: This study proposes a reliability trend analysis process of the warship weapon system using actual failure data for use in establishing a warship maintenance policy and consequently strengthening the utilization of field data RAM analysis result.BRMethods: The characteristics of the warship weapon system and the types of data that can be extracted from the field data RAM analysis results were reviewed. Based on this, methods such as annual analysis and non-dimensionalization were proposed.BRResults: The proposed method involved several processes, including data extraction from RAMVV, calculations of annual reliability, data calibration, non-dimensionalization, year calibration, and reliability trend analysis.BRConclusion: A case study was performed by applying the proposed method. The reliability of the warship weapon system continuously increased over the entire life cycle. Moreover, the trend was clearly observed in the section that included various ships; thus, it is expected that the reliability of the trend analysis will be improved through the accumulation of considerable amount of data.\",\"PeriodicalId\":499683,\"journal\":{\"name\":\"Sinloeseong eung'yong yeon'gu\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sinloeseong eung'yong yeon'gu\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33162/jar.2023.6.23.2.154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sinloeseong eung'yong yeon'gu","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33162/jar.2023.6.23.2.154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Reliability Trend Analysis of Warship Weapon System Using Field Data RAM Analysis Results
Purpose: This study proposes a reliability trend analysis process of the warship weapon system using actual failure data for use in establishing a warship maintenance policy and consequently strengthening the utilization of field data RAM analysis result.BRMethods: The characteristics of the warship weapon system and the types of data that can be extracted from the field data RAM analysis results were reviewed. Based on this, methods such as annual analysis and non-dimensionalization were proposed.BRResults: The proposed method involved several processes, including data extraction from RAMVV, calculations of annual reliability, data calibration, non-dimensionalization, year calibration, and reliability trend analysis.BRConclusion: A case study was performed by applying the proposed method. The reliability of the warship weapon system continuously increased over the entire life cycle. Moreover, the trend was clearly observed in the section that included various ships; thus, it is expected that the reliability of the trend analysis will be improved through the accumulation of considerable amount of data.