Markov model of computed tomography equipment

Abstract Computed tomography (CT) equipment uses a non-invasive radiology procedure to diagnose by generating images. This research aims to determine the degradation matrix and estimate the condition over time to the CT equipment to optimise their maintenance through Markov chain. The database failure history of four Spanish hospitals between 2016 and 2020 was used for this analysis. Five states of condition were used to develop the Markov degradation model, which enables the degradation of CT equipment to be properly estimated. It was found that their degradation can be modelled by Markov chains. The result is a degradation matrix with which the useful life of the equipment, the policy and the frequency of the maintenance can be established. Thus, the maintenance operations needed to reduce the equipment downtime can be determined.

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