Mathematical modeling and reliability analysis of the serial processes in feeding system of a sugar plant

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• 作者：Anil Kr. Aggarwal ; Sanjeev Kumar…
• 关键词：Markov birth–death process ; Chapman–Kolmogorov differential equations ; Reliability ; Long ; run availability ; MTBF
• 刊名：International Journal of System Assurance Engineering and Management
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：8
• 期：1-supp
• 页码：435-450
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Quality Control, Reliability, Safety and Risk; Engineering Economics, Organization, Logistics, Marketing;
• 出版者：Springer India
• ISSN：0976-4348
• 卷排序：8

文摘

In this paper, a numerical method is proposed for the reliability analysis of serial processes in the feeding system of a sugar plant. The feeding system is a complex system and comprises of four repairable sub-systems viz. cutting system, crushing system, bagasse carrying system and heat generating system arranged in series or parallel configurations. Three sub-systems namely cutting system, bagasse carrying system and heat generating system are supported by standby units with perfect switch over devices. Mathematical modeling of the system based on Markov birth–death process is carried out to derive Chapman–Kolmogorov differential equations. These equations are solved by using the proposed method i.e. an adaptive step-size control Runge–Kutta method. The long-run availability, reliability and mean time between failures (MTBF) for the system are computed for performance analysis of the system. These results are presented and discussed with the plant personnel to adopt and practice suitable maintenance policies/strategies to enhance the performance of the feeding system of sugar plant.