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On improving data and models on corrective control failures for use in probabilistic reliability management

机译:关于改进概率可靠性管理中纠正控制故障的数据和模型

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One of the most pressing concerns in the investigation of new probabilistic reliability criteria pertains to the data required as input to the evolving probabilistic models. This paper discusses an area of failure data collection that has been overlooked in power system reliability studies: corrective control actions. Background information is provided on the need for evolution of data collection systems in this context. Further, steps that can be taken to build a database of parameters necessary for modelling corrective actions are provided, to be useful in assessing system behaviour from a probabilistic reliability management perspective. Modelling of corrective control actions using event trees is illustrated. Throughout, the various challenges foreseen in the building of corresponding databases and models are outlined.
机译:研究新的概率可靠性标准的调查中最紧迫的疑虑之一属于所需的数据作为进化概率模型所需的数据。本文讨论了电力系统可靠性研究中被忽视的故障数据收集领域:纠正控制操作。背景技术在此上下文中提供了数据收集系统的进化的需要。此外,提供了可以采用的步骤来构建建模校正动作所需的参数数据库,以便在评估来自概率可靠性管理的角度来评估系统行为。说明了使用事件树的校正控制操作的建模。概述了整个挑战,在建立相应的数据库和模型中预见的挑战。

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