{"title":"Return on investment associated with PHM applied to an LED lighting system","authors":"Moon-Hwan Chang, M. Pecht, W. K. Yung","doi":"10.1109/ICPHM.2013.6621434","DOIUrl":null,"url":null,"abstract":"Light emitting diode (LED) lighting systems have been implemented in a wide range of applications because they save money and are better for the environment than traditional lighting systems. However, the lack of information regarding LED reliability is a barrier to the further expansion of LED use. Prognostics and health management (PHM) techniques can be utilized to provide LED reliability information to remove this barrier. PHM can provide early warning of failures, reduce unscheduled maintenance events, extend the time interval of the maintenance cycle, and reduce the life cycle cost of LED lighting systems. This paper presents an evaluation of the return on investment from implementing PHM in LED lighting systems with different failure distributions. It also presents the results of a study comparing the life cycle cost of an LED lighting system maintained by unscheduled maintenance with the life cycle cost of the same system maintained using a PHM approach.","PeriodicalId":178906,"journal":{"name":"2013 IEEE Conference on Prognostics and Health Management (PHM)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Conference on Prognostics and Health Management (PHM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPHM.2013.6621434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Light emitting diode (LED) lighting systems have been implemented in a wide range of applications because they save money and are better for the environment than traditional lighting systems. However, the lack of information regarding LED reliability is a barrier to the further expansion of LED use. Prognostics and health management (PHM) techniques can be utilized to provide LED reliability information to remove this barrier. PHM can provide early warning of failures, reduce unscheduled maintenance events, extend the time interval of the maintenance cycle, and reduce the life cycle cost of LED lighting systems. This paper presents an evaluation of the return on investment from implementing PHM in LED lighting systems with different failure distributions. It also presents the results of a study comparing the life cycle cost of an LED lighting system maintained by unscheduled maintenance with the life cycle cost of the same system maintained using a PHM approach.