{"title":"威布尔寿命分布的最佳预防更换间隔:解决方案和应用","authors":"J. Huang, C. R. Miller, O. Okogbaa","doi":"10.1109/RAMS.1995.513271","DOIUrl":null,"url":null,"abstract":"Using a well-known single-unit replacement model with Weibull failure distribution assumption, normalization is used to reduce the model input parameters such that standard optimal preventive replacement solutions can be generated. Characteristics of the model solutions are discussed. The standard solutions are organized in charts and tables for ease of use. Procedures are developed and examples are given for applying the standard solutions for engineering problems with different system parameters. It is believed that the generated standard solutions and the developed procedures will be helpful for maintenance practitioners to apply theoretical research results in industrial practice.","PeriodicalId":143102,"journal":{"name":"Annual Reliability and Maintainability Symposium 1995 Proceedings","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Optimal preventive-replacement intervals for the Weibull life distribution: solutions and applications\",\"authors\":\"J. Huang, C. R. Miller, O. Okogbaa\",\"doi\":\"10.1109/RAMS.1995.513271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using a well-known single-unit replacement model with Weibull failure distribution assumption, normalization is used to reduce the model input parameters such that standard optimal preventive replacement solutions can be generated. Characteristics of the model solutions are discussed. The standard solutions are organized in charts and tables for ease of use. Procedures are developed and examples are given for applying the standard solutions for engineering problems with different system parameters. It is believed that the generated standard solutions and the developed procedures will be helpful for maintenance practitioners to apply theoretical research results in industrial practice.\",\"PeriodicalId\":143102,\"journal\":{\"name\":\"Annual Reliability and Maintainability Symposium 1995 Proceedings\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Reliability and Maintainability Symposium 1995 Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS.1995.513271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Reliability and Maintainability Symposium 1995 Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS.1995.513271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal preventive-replacement intervals for the Weibull life distribution: solutions and applications
Using a well-known single-unit replacement model with Weibull failure distribution assumption, normalization is used to reduce the model input parameters such that standard optimal preventive replacement solutions can be generated. Characteristics of the model solutions are discussed. The standard solutions are organized in charts and tables for ease of use. Procedures are developed and examples are given for applying the standard solutions for engineering problems with different system parameters. It is believed that the generated standard solutions and the developed procedures will be helpful for maintenance practitioners to apply theoretical research results in industrial practice.