社会技术系统中操作风险动态随机建模的数学基础

M. Prus
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引用次数: 0

摘要

介绍。相当数量的事故和紧急情况是由于与操作因素有关的原因造成技术设施和各种设备故障而引起的事件。因此,创造新技术,在可接受的危险事件风险水平范围内提供监管的问题变得紧迫起来。可以在组织监测实际情况和其他操作因素的基础上创造这种技术,并通过采用适当的技术和经济机制加以管制。该研究的目的是基于技术对象危险故障发生过程的离散事件建模,开发新的方法来研究社会技术系统中操作风险的动态。方法。在构建随机模型时,技术对象被描述为由一组降解过程源引起的新兴和发展中的退化变化的物质载体,这些退化过程源产生相应的一组失效模式。结果和讨论。基于主要运行因素的积分泛函表示广义运行时间,并考虑退化过程源集,建立了运行风险的一般模型。考虑运行时间泛函的取值,采用三参数威布尔分布,得到了描述技术对象危险失效动力学的解析表达式,并确定了危险失效的分布函数。结论。为技术对象的危险故障所产生的多成分风险建立模型的方法的发展似乎是一个有希望的方向,以改善专门系统中基于风险的管理的信息和分析支持,旨在减少技术对象和各种设备的故障所造成的社会经济损失,因为尽量减少主要故障来源所产生的危险事件的流动。所提出的运行风险模型可用于安全系统中解决确定技术对象运行可靠性和安全性的各种参数的问题,并可通过评估运行因素对广义运行时间和可靠性参数变化的影响来预测预期的社会经济损失。关键词:可靠性和安全性指标,技术对象运行,失效模式集,三参数威布尔分布
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Mathematical foundations of stochastic modeling of the dynamics of operational risks in sociotechnical systems
Introduction. A significant number of accidents and emergencies are initiated by incidents caused by failures of technical facilities and various equipment for reasons related to operational factors. Therefore, the problem of creating new technologies that provide regulation within acceptable limits of the level of risk of dangerous incidents is becoming urgent. Such technologies can be created on the basis of organizing monitoring of real conditions and other operating factors, as well as their regulation through the introduction of appropriate technical and economic mechanisms. The purpose of the study is to develop new approaches to the study of the dynamics of operational risks in sociotechnical systems based on discrete-event modeling of the processes of occurrence of dangerous failures of technical objects. Methods. When constructing a stochastic model, technical objects are presented as material carriers of emerging and developing degradation changes caused by a certain set of sources of degradation processes that generate a corresponding set of failure modes. Results and discussion. A general model of operational risks has been built, based on the representation of the generalized operating time by an integral functional from the main operational factors and taking into account sets of sources of degradation processes. Analytical expressions are obtained to describe the dynamics of dangerous failures of technical objects and to determine the distribution function of dangerous failures, considering the values of the operating time functional and using three-parameter Weibull distributions. Conclusions. The development of methods for modeling multicomponent risks generated by dangerous failures of technical objects seems to be a promising direction for improving the information and analytical support of risk-based management in specialized systems aimed at reducing socio-economic losses caused by failures of technical objects and various equipment due to minimizing the flow of dangerous incidents generated by the main sources of failures. The proposed model of operational risks can be used in safety systems in solving a number of problems to determine various parameters of reliability and safety of operation of technical objects, as well as in predicting the expected socio-economic damage based on assessing the impact of operational factors on the generalized operating time and changing reliability parameters technical objects. Keywords: reliability and safety indicators, operation of technical objects, set of failure modes, three-parameter Weibull distribution.
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