Performance Modeling and Availability Analysis of Cane Juice Extraction System of A Sugar Industry (original) (raw)
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This paper deals with the condition based maintenance modeling for availability analysis of repairable mechanical systems using MARKOV analysis. Maintenance actions are selected out of four actions namely no repair, minor maintenance, imperfect maintenance and major maintenance. The various probabilities of selecting the maintenance depend upon the level of degradation. Thus system MARKOV model is developed incorporating these aspects, i.e. multi-state degradation, periodic inspection, condition based maintenance actions and random failures. The solution of the model is obtained analytically by solving system of ordinary differential equations by RangaKutta method using MATLAB software. The proposed methodology is implemented for centrifugal pump. The suggested approach helps in gauging and assessing availability and hence is useful for the engineers in enhancing the overall availability of the system. It is also helpful for maintenance engineers in deciding suitable maintenance and...
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Markov chains models are widely applied in industrial engineering. In this paper, Markov chains are used to achieve modeling scenarios for the maintenance parameters and performance evaluation of production systems. The Markov chains are built with the queuing theory and are well-known for their power of representation by given a small computing effort. This paper is focused on reveal some random behaviors with the help of modeling scenarios. Our contribution consists in the development of two modeling scenarios. In the first scenario, the availability of a system with the setup phase and scraps is calculated, then the machine behavior in a period of a month is evaluated using failure and repair rates generated by Linear Congruential Generator. In the second scenario, the availability of a system with the setup phase without scraps is designed and evaluated.