{"title":"Reliability prediction using fuzzy logic","authors":"K. K. Mohan, K. Seetharam","doi":"10.1109/INDIACOM.2014.6828131","DOIUrl":null,"url":null,"abstract":"Reliability is an area in which there are many misconceptions due to misunderstanding or misuse of the basic language. It is therefore important to get an understanding of the basic concepts and terminology. Reliability study is considered essential for proper utilization and maintenance of engineering systems and equipment's. A practical definition of reliability is “the probability that a piece of equipment operating under specified conditions shall perform satisfactorily for a given period of time”. Reliability prediction is a process by which highest reliability can be achieved by using a group of less reliable components with minimum cost instead of only one with highest reliability (and maximum cost). This reliability prediction is applied using fuzzy logic and this would help in a great way in any project procurement process. In this paper three different cases are carried out by means of principal component analysis. One analysis with reliability as predominant factor, second analysis with number of components as predominant factor and in third analysis cost as a predominant factor. The analysis of variables is to identify the dimension that is latent, which can be considered in the phenomena of performance correlation]. This is to study the effects in the developed principal component analysis approach [7[[9].","PeriodicalId":404873,"journal":{"name":"2014 International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computing for Sustainable Global Development (INDIACom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIACOM.2014.6828131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Reliability is an area in which there are many misconceptions due to misunderstanding or misuse of the basic language. It is therefore important to get an understanding of the basic concepts and terminology. Reliability study is considered essential for proper utilization and maintenance of engineering systems and equipment's. A practical definition of reliability is “the probability that a piece of equipment operating under specified conditions shall perform satisfactorily for a given period of time”. Reliability prediction is a process by which highest reliability can be achieved by using a group of less reliable components with minimum cost instead of only one with highest reliability (and maximum cost). This reliability prediction is applied using fuzzy logic and this would help in a great way in any project procurement process. In this paper three different cases are carried out by means of principal component analysis. One analysis with reliability as predominant factor, second analysis with number of components as predominant factor and in third analysis cost as a predominant factor. The analysis of variables is to identify the dimension that is latent, which can be considered in the phenomena of performance correlation]. This is to study the effects in the developed principal component analysis approach [7[[9].