State-based transition probabilities for systems subject to periodic inspection interval

• Published in: Quality technology & quantitative management Vol. ahead-of-print; no. ahead-of-print; pp. 1 - 23
• Main Authors: Sharifi, Mani, Taghipour, Sharareh, Zaretalab, Arash
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 02.09.2024
• Subjects: active configuration; inspection interval optimization; Markov process; standby configuration; Transition probabilities
• ISSN: 1684-3703; 1684-3703
• DOI: 10.1080/16843703.2023.2236902

In this paper, we present a general formula to calculate transition probabilities for six different types of systems based on their redundancy strategy and the status of the components. The systems are under periodic inspection policy and their components are repairable. The investigated systems include system I - active redundancy without any component to be replaced or repaired; system II - active with the component(s) to be replaced and repaired; system III - active with the component(s) to be repaired; system IV - standby without any component(s) to be replaced or repaired; system V - standby with the component(s) to be replaced and repaired; and system VI - standby with the component(s) to be repaired. In addition, all components in a system are considered non-identical. To calculate the transition probabilities for systems IV, V, and VI, we first consider a system with n non-identical components and cold standby configuration (NIC-CSC) and calculate the system state probabilities using Markov theory. Then, we present the general formula transition probabilities for systems IV, V, and VI using the results of the NIC-CSC system inspection interval. We demonstrate how to calculate the transition probabilities and matrixes for the six above-mentioned systems using the provided formulas. Moreover, we use the provided formulas to optimize the inspection interval of these systems using a modified full enumeration technique.