基于软硬件故障的多状态自动售票机可靠性评估

IF 1.8 Q3 ENGINEERING, INDUSTRIAL
Amit Kumar, Pardeep Kumar
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引用次数: 2

摘要

本文通过对自动售票机(ATVM)不同硬件和软件故障的功能进行性能分析。设计/方法/方法ATVM工作中经常出现故障;因此,本文的作者打算对其绩效指标进行分析。作者在马尔可夫过程的帮助下,建立了一个基于运行过程中可能发生的不同硬件和软件故障/维修的数学模型。所建立的模型求解了两种故障/修复率,即可变故障(非常类似于实时故障)和恒定故障。利用拉格朗日法和拉普拉斯变换对所建立的模型进行求解。研究结果确定了ATVM的可靠性和平均无故障时间。本文还对ATVM进行了灵敏度分析。在可靠性和MTTF方面,还确定了影响ATVM性能的关键组件。独创性/价值基于ATVM的不同硬件和软件故障/修复,建立了一个数学模型来分析其性能,这是过去没有做过的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability assessment for multi-state automatic ticket vending machine (ATVM) through software and hardware failures
PurposeThis paper presents the performance analysis of the automatic ticket vending machine (ATVM) through the functioning of its different hardware and software failures.Design/methodology/approachFrequent failures in the working of ATVM have been observed; therefore, the authors of the paper intend to analyze the performance measures of the same. Authors have developed a mathematical model based on different hardware and software failures/repairs, which may occur during the operation, with the help of the Markov process. The developed model has been solved for two kinds of failure/repair rates namely variable failures (very much similar to real-time failure) and constant failures. Lagrange's method and Laplace transformation are used for the solution of the developed model.FindingsReliability and mean time to failure of the ATVM are determined. Sensitivity analysis for ATVM is also carried out in the paper. Critical components of the ATVM, which affect the performance of the same, in terms of reliability and MTTF are also identified.Originality/valueA mathematical model based on different hardware and software failures/repairs of ATVM has been developed to analyze its performance, which has not been done in the past.
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来源期刊
Journal of Quality in Maintenance Engineering
Journal of Quality in Maintenance Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
4.00
自引率
13.30%
发文量
24
期刊介绍: This exciting journal looks at maintenance engineering from a positive standpoint, and clarifies its recently elevatedstatus as a highly technical, scientific, and complex field. Typical areas examined include: ■Budget and control ■Equipment management ■Maintenance information systems ■Process capability and maintenance ■Process monitoring techniques ■Reliability-based maintenance ■Replacement and life cycle costs ■TQM and maintenance
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