Mathematical model for analysing availability of threshing combine machine under reduced capacity

Q3 Decision Sciences Yugoslav Journal of Operations Research Pub Date : 2022-01-01 DOI:10.2298/yjor220315019s
Shakuntla Singla, U. Modibbo, M. Mijinyawa, Subhash Malik, Shubham Verma, Pooja Khurana
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引用次数: 13

Abstract

Obtaining system availability in an engineering design is trickish and challenging, especially when there is a reduction in capacity; however, it supports system maintainability. In this paper, a mathematical model for finding the availability under the reduced capacity has been proposed using the Chapman Kolmogorov approach with the help of transition diagrams associated with various possible combinations of probabilities. The paper observes the most critical subsystem by selecting variable failure and repair rates from different subsystems. It deals with the sensitivity analysis of a complex repairable threshing combined machine comprising subsystems in a series configuration and the threshing machine consisting of 21 subsystems. The device works in total capacity when the threshing drum and feeding Hooper work in the complete state, and the concave subsystem and blower work with reduced power. This study dealt with uncertain data and was analyzed analytically using a complex repairable system. The availability of the entire machine has been investigated analytically, and various availability indices such as subsystems extruder have been computed and reported. The study discovered that subsystem extruder has the most impact on some subsystems? overall system availability.
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减容条件下脱粒联合机可用性分析的数学模型
在工程设计中获得系统可用性是一项棘手且具有挑战性的工作,特别是在容量减少的情况下;但是,它支持系统可维护性。本文利用Chapman Kolmogorov方法,利用各种可能的概率组合的转换图,建立了一个求容量减小下的可用性的数学模型。通过从不同的子系统中选取可变的故障率和修复率来观察最关键的子系统。研究了由多个子系统组成的复杂可修脱粒组合机和由21个子系统组成的脱粒机的灵敏度分析问题。脱粒鼓和喂料斗在全工况下工作,凹分系统和鼓风机在低功率下工作。本研究处理不确定数据,并使用复杂的可修系统进行分析。对整机的可用性进行了分析研究,计算并报告了挤出机子系统等各种可用性指标。研究发现,挤出机对某些子系统的影响最大。整体系统可用性。
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来源期刊
Yugoslav Journal of Operations Research
Yugoslav Journal of Operations Research Decision Sciences-Management Science and Operations Research
CiteScore
2.50
自引率
0.00%
发文量
14
审稿时长
24 weeks
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