Reliability analysis of station autonomous computer system based on fuzzy dynamic fault tree and Markov model

Abstract

Station autonomous computer system is the core of the centralized traffic control (CTC) system. The working mode is dual computer hot standby, and its reliability is very important. Due to the dynamic and fuzzy issue with the reliability analysis of station autonomous computer system, a reliability analysis method is formulated based on fuzzy dynamic fault tree (DFT) and Markov model. First, the structure and working principle of the dual computer hot standby autonomous computer system and the double 2‐vote‐2 autonomous computer system are analyzed, and two autonomous computer systems based on DFT are formulated. Then, the failure rates and the fault detection probabilities are considered as fuzzy variables and represented as triangular fuzzy variables. The fuzzy state transition matrix of the system is obtained by conversion of DFT to the Markov model. Finally, the fuzzy reliability of the system is calculated by Laplace transform. Simulation results show that the reliability of the dual computer hot standby autonomous computer system is higher than that of the double 2‐vote‐2 autonomous computer system. Besides, the reliability of the hardware system is not only related to the structure of the system, but also affected by the uncertain unit failure rate, fault detection probabilities, and so on.

Evaluating uncertainties to deliver enhanced service performance in education PPPs: a hierarchical reliability framework

“…Fault tree analysis, reliability block diagrams and Markov models determine hardware reliability, focussing on the resilience against vulnerabilities to the faults in hardware design and system (Mesbahi et al. , 2018; Yan et al. , 2021).…”

“…Since the application of the reliability concept is vast, various statistical methods are used to evaluate reliability in performance evaluation studies. Fault tree analysis, reliability block diagrams and Markov models determine hardware reliability, focussing on the resilience against vulnerabilities to the faults in hardware design and system (Mesbahi et al, 2018;Yan et al, 2021). Similarly, the nonhomogeneous Poisson process, Gaussian process and Markovmodulated Poisson are commonly used to calculate the software reliability of the probability of failure-free software operation for a given period in a given complex environment (Zhu and Pham, 2022).…”

Performance Analysis of Tyre Manufacturing System in the SMEs Using RAMD Approach

“…e reliability of centralized traffic control systems in the autonomous station computer system has been described. Besides, the proposed reliability analysis framework can easily predict the failure rate and fault detection probability of autonomous computer stations with the application of the Markov model and fuzzy dynamic fault tree analysis approach [24]. Variable reliability measures (RAMD) of the cloud computing technology have been explained through the application of the reliability, availability, and cost analysis approach [25].…”

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