Modeling failure types and failure times of turning and boring machine systems

摘要

Purpose-The purpose of this paper is to model the occurrences of successive failure types and timeso failure of the two repairable machine systems.Design/methodology/approach-Historical data on failure types and time to failures of the givenmachine systems (4 nos) were gainfully used. Second order time homogeneous Markov Chain modelsvere used to characterize the occurrences of the two broad failure type, namely, mechanical andelectrical, after having found that the occurrences of failure types were dependent. Second order timehomogeneous Markov Chain with Bivariate Distribution function(M2BVD)was used to model thetimes between successive failures {T_n, n≥1} for each machine system.Findings-It is possible to apply the theoretical framework of Markov chain models to theaccumulated data on failure types and failure times of any repairable system, which provide a wealthof information on the systems and are often left unused.Research limitations/implications-The framework used in the study can be improved toaccommodate multiple failure types and failure times of any repairable system to the extent that anore accurate prediction of these two variables and a better estimate of the system reliability arelvailable.Originality/value-The models for failure types and failure times of the given machine systemsvould be of immense use to the maintenance crew for predicting the future failure types and failureimes of any given system and subsequently organizing and fine-tuning their state of preparedness.