Markov Chain Modelling of Standby Redundant Networked Control System

A. Raj, S. Azad
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引用次数: 2

Abstract

Reliability analysis of standby redundant systems is essential in continuous industrial process applications. This paper proposes the Markov chain modelling of the networked control system with standby redundant elements. It involves the evaluation of all the operating, repair and failure states of elements and their probabilities of failure using stochastic transitional probability matrix. The frequency of each encountering the state of failure is presented to predict the reliability of the networked control system. The results of the mathematical approach are presented to illustrate the performance of the proposed model with redundant sensor and actuator connected in NCS.
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备用冗余网络控制系统的马尔可夫链建模
在连续工业过程应用中,备用冗余系统的可靠性分析是必不可少的。提出了具有备用冗余元件的网络化控制系统的马尔可夫链模型。它涉及到用随机转移概率矩阵评估元件的所有运行、维修和失效状态及其失效概率。给出了各种故障状态的出现频率,用以预测网络控制系统的可靠性。给出了数学方法的结果,以说明在NCS中冗余传感器和执行器连接的模型的性能。
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