Condition-based monitoring as a robust strategy towards sustainable and resilient multi-energy infrastructure systems

IF 2.7 Q2 ENGINEERING, CIVIL

Sustainable and Resilient Infrastructure Pub Date : 2022-10-18 DOI:10.1080/23789689.2022.2134648

Nita Yodo, Tanzina Afrin, O. P. Yadav, Di Wu, Ying Huang

{"title":"Condition-based monitoring as a robust strategy towards sustainable and resilient multi-energy infrastructure systems","authors":"Nita Yodo, Tanzina Afrin, O. P. Yadav, Di Wu, Ying Huang","doi":"10.1080/23789689.2022.2134648","DOIUrl":null,"url":null,"abstract":"ABSTRACT A resilient energy infrastructure system is exceptionally imperative to ensure uninterrupted energy supply to support the nation's economic growth. The resilience capability in energy infrastructures can be realized through effective planning decisions and maintenance strategies by implementing the condition-based monitoring (CBM) approach. CBM minimizes the unplanned downtime of a system by monitoring the system's health status in real-time and predicting upcoming failures. Thus, the planned maintenance can be performed before failures occur. With advancements in data analytics, conventional CBM methods have been enhanced with modern artificial intelligence algorithms to improve the prediction accuracy. This paper comprehensively evaluates the importance of CBM as a robust strategy to enhance energy infrastructure resilience. The vulnerabilities of energy infrastructure and current advancements in data-driven CBM methods are detailed. Furthermore, this survey equip energy infrastructure stakeholders and practitioners with CBM knowledge in managing unforeseen disaster risks, such as power failures due to adverse weather conditions.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable and Resilient Infrastructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23789689.2022.2134648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}

引用次数: 4

Abstract

ABSTRACT A resilient energy infrastructure system is exceptionally imperative to ensure uninterrupted energy supply to support the nation's economic growth. The resilience capability in energy infrastructures can be realized through effective planning decisions and maintenance strategies by implementing the condition-based monitoring (CBM) approach. CBM minimizes the unplanned downtime of a system by monitoring the system's health status in real-time and predicting upcoming failures. Thus, the planned maintenance can be performed before failures occur. With advancements in data analytics, conventional CBM methods have been enhanced with modern artificial intelligence algorithms to improve the prediction accuracy. This paper comprehensively evaluates the importance of CBM as a robust strategy to enhance energy infrastructure resilience. The vulnerabilities of energy infrastructure and current advancements in data-driven CBM methods are detailed. Furthermore, this survey equip energy infrastructure stakeholders and practitioners with CBM knowledge in managing unforeseen disaster risks, such as power failures due to adverse weather conditions.

查看原文本刊更多论文

基于条件的监测是实现可持续和有弹性的多能源基础设施系统的有力战略

摘要：为了确保不间断的能源供应以支持国家经济增长，一个有弹性的能源基础设施系统是非常必要的。通过实施基于状态的监测（CBM）方法，可以通过有效的规划决策和维护策略来实现能源基础设施的恢复能力。CBM通过实时监控系统运行状况并预测即将发生的故障，最大限度地减少系统的计划外停机时间。因此，可以在故障发生之前执行计划维护。随着数据分析的进步，现代人工智能算法增强了传统的CBM方法，以提高预测精度。本文全面评估了煤层气作为增强能源基础设施弹性的稳健战略的重要性。详细介绍了能源基础设施的脆弱性以及数据驱动煤层气方法的当前进展。此外，这项调查为能源基础设施利益相关者和从业者提供了煤层气知识，以管理不可预见的灾害风险，如恶劣天气条件导致的电力故障。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Sustainable and Resilient Infrastructure ENGINEERING, CIVIL-

CiteScore

7.60

自引率

10.20%

发文量

期刊介绍： Sustainable and Resilient Infrastructure is an interdisciplinary journal that focuses on the sustainable development of resilient communities. Sustainability is defined in relation to the ability of infrastructure to address the needs of the present without sacrificing the ability of future generations to meet their needs. Resilience is considered in relation to both natural hazards (like earthquakes, tsunami, hurricanes, cyclones, tornado, flooding and drought) and anthropogenic hazards (like human errors and malevolent attacks.) Resilience is taken to depend both on the performance of the built and modified natural environment and on the contextual characteristics of social, economic and political institutions. Sustainability and resilience are considered both for physical and non-physical infrastructure.