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Advanced criticality assessment method for sewer pipeline assets

机译:下水道管道资产的先进临界评估方法

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摘要

For effective management of water and wastewater infrastructure, the United States Environmental Protection Agency (US-EPA) has long emphasized the significant role of risk in prioritizing and optimizing asset management decisions. High risk assets are defined as assets with a high probability of failure (e.g. soon to fail, old, poor condition) and high consequences of failure (e.g. environmental impact, high expense, safety concerns, social disruption). In practice, the consequences of failure are often estimated by experts through a Delphi method. However, the estimation of the probability of failure has been challenging as it requires the thorough analysis of the historical condition assessment data, repair and replacement records, and other factors influencing the deterioration of the asset. The most common predictor in estimating the probability of failure is calendar age. However, a simple reliance on calendar age as a basis for estimating the asset's deterioration pattern completely ignores the different aging characteristics influenced by various operational and environmental conditions. This paper introduces a new approach of using 'real age' in estimating the probability of failure. Unlike the traditional calendar age method, the real age represents the adjusted age based on the unique operational and environmental conditions of the asset. Depending on the individual deterioration pattern, the real age could be higher or lower than its calendar age. Using the concept of real age, the probability of failure of an asset can be more accurately estimated.
机译:为了对水和废水基础设施进行有效管理,美国环境保护署(US-EPA)长期强调风险在确定和优化资产管理决策中的重要作用。高风险资产的定义为发生故障的可能性很高(例如即将发生故障,陈旧,状况不佳)并且发生故障的后果很高(例如对环境的影响,高昂的费用,安全问题,社会破坏)。在实践中,故障的后果通常是由专家通过Delphi方法估算的。但是,失败概率的估计具有挑战性,因为它需要对历史状况评估数据,维修和更换记录以及其他影响资产恶化的因素进行全面分析。估计失败概率的最常见预测因素是日历年龄。但是,仅依靠日历年龄作为估计资产恶化模式的基础,就完全忽略了受各种操作和环境条件影响的不同老化特性。本文介绍了一种使用“实际年龄”来估计失败概率的新方法。与传统的日历年龄方法不同,实际年龄代表根据资产的独特运营和环境条件进行调整的年龄。根据个体恶化的模式,实际年龄可能高于或低于其日历年龄。使用实际年龄的概念,可以更准确地估计资产发生故障的可能性。

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