{"title":"基于当前健康指数和维护水平预测未来资产状况","authors":"T. Hjartarson, S. Otal","doi":"10.1109/TDCLLM.2006.340747","DOIUrl":null,"url":null,"abstract":"With restructuring of the electricity sector into profit oriented business models, an increasing number of electric utilities are adopting health indices to measure and monitor the condition of their assets. The health indices represent a novel way for capturing and quantifying the results of operating observations, field inspections and in-situ and laboratory testing into an objective and quantitative picture, providing the overall health of the assets. Asset health indices become a powerful tool in managing assets and identifying investment needs and prioritizing investments into capital and maintenance programs. When appropriately developed, health indices provide an accurate indication of the probability of asset failures and associated risks. Having established the asset health index under current conditions, health index values in future can be predicted by taking into account the impact of environmental and operating conditions along with the preventative maintenance practices. This paper describes the techniques to account for impact of preventative maintenance on health indices and for predicting future asset condition based on the current health index and maintenance practices. The techniques can be used for evaluating future risks associated with an asset or in selecting optimal maintenance levels that would provide the right balance between risk and investment costs.","PeriodicalId":193517,"journal":{"name":"ESMO 2006 - 2006 IEEE 11th International Conference on Transmission & Distribution Construction, Operation and Live-Line Maintenance","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Predicting Future Asset Condition Based on Current Health Index and Maintenance Level\",\"authors\":\"T. Hjartarson, S. Otal\",\"doi\":\"10.1109/TDCLLM.2006.340747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With restructuring of the electricity sector into profit oriented business models, an increasing number of electric utilities are adopting health indices to measure and monitor the condition of their assets. The health indices represent a novel way for capturing and quantifying the results of operating observations, field inspections and in-situ and laboratory testing into an objective and quantitative picture, providing the overall health of the assets. Asset health indices become a powerful tool in managing assets and identifying investment needs and prioritizing investments into capital and maintenance programs. When appropriately developed, health indices provide an accurate indication of the probability of asset failures and associated risks. Having established the asset health index under current conditions, health index values in future can be predicted by taking into account the impact of environmental and operating conditions along with the preventative maintenance practices. This paper describes the techniques to account for impact of preventative maintenance on health indices and for predicting future asset condition based on the current health index and maintenance practices. The techniques can be used for evaluating future risks associated with an asset or in selecting optimal maintenance levels that would provide the right balance between risk and investment costs.\",\"PeriodicalId\":193517,\"journal\":{\"name\":\"ESMO 2006 - 2006 IEEE 11th International Conference on Transmission & Distribution Construction, Operation and Live-Line Maintenance\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ESMO 2006 - 2006 IEEE 11th International Conference on Transmission & Distribution Construction, Operation and Live-Line Maintenance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TDCLLM.2006.340747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESMO 2006 - 2006 IEEE 11th International Conference on Transmission & Distribution Construction, Operation and Live-Line Maintenance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDCLLM.2006.340747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting Future Asset Condition Based on Current Health Index and Maintenance Level
With restructuring of the electricity sector into profit oriented business models, an increasing number of electric utilities are adopting health indices to measure and monitor the condition of their assets. The health indices represent a novel way for capturing and quantifying the results of operating observations, field inspections and in-situ and laboratory testing into an objective and quantitative picture, providing the overall health of the assets. Asset health indices become a powerful tool in managing assets and identifying investment needs and prioritizing investments into capital and maintenance programs. When appropriately developed, health indices provide an accurate indication of the probability of asset failures and associated risks. Having established the asset health index under current conditions, health index values in future can be predicted by taking into account the impact of environmental and operating conditions along with the preventative maintenance practices. This paper describes the techniques to account for impact of preventative maintenance on health indices and for predicting future asset condition based on the current health index and maintenance practices. The techniques can be used for evaluating future risks associated with an asset or in selecting optimal maintenance levels that would provide the right balance between risk and investment costs.