工程中整体系统安全的不确定性

K. Ziha
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引用次数: 1

摘要

概率安全分析是利用统计和概率论来评估系统的可靠性和故障概率,但由于系统状态概率的可变性,无法估计系统的不确定性。本文首先回顾了信息熵如何表达由于系统状态概率分布的不均匀而引起的概率不确定性。其次,本文认为系统运行状态和故障状态的条件熵分别恰当地描述了系统冗余和鲁棒性。最后得出了可靠性、冗余性和鲁棒性的联合概率不确定性定义了整体系统的安全性。整体系统安全的概念允许在工程中更全面地定义有利的系统功能特性、配置评估、优化和决策。
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Uncertainty of Integral System Safety in Enginering
The probabilistic safety analysis evaluates system reliability and failure probability by using statistics and probability theory but it cannot estimate the system uncertainties due to variabilities of system state probabilities. The article firstly resumes how the information entropy expresses the probabilistic uncertainties due to unevenness of probability distributions of system states. Next it argues that the conditional entropy with respect to system operational and failure states appropriately describes system redundancy and robustness, respectively. Finally the article concludes that the joint probabilistic uncertainties of reliability, redundancy and robustness defines the integral system safety. The concept of integral system safety allows more comprehensive definitions of favorable system functional properties, configuration evaluation, optimization and decision making in engineering.
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来源期刊
CiteScore
5.20
自引率
13.60%
发文量
34
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