故障检测设备的维修策略和系统可用性

IF 0.5 Q4 STATISTICS & PROBABILITY

Communications for Statistical Applications and Methods Pub Date : 2022-03-31 DOI:10.29220/csam.2022.29.2.151

Seongryong Na, Sunghoon Bang

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引用次数: 0

摘要

整个系统由主系统（MS）和检测MS故障的故障检测设备（FDE）组成。当FDE可能发生故障时，进行系统可靠性分析。考虑了几种修复策略来确定故障系统的修复顺序，它们是顺序修复（SQ）、优先修复（PR）、独立修复（ID）和同时修复（SM）。根据维修策略，MS-FDE系统的状态由马尔可夫模型表示，本文的主要目的是推导马尔可夫模型的系统可用性。推导了马尔可夫模型的平稳方程的解析解，并使用平稳解立即确定了系统的可用性。讨论了一个简单的示例，用于比较本文中考虑的维修策略的可用性值。

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Repair policies of failure detection equipments and system availability

The total system is composed of the main system (MS) and the failure detection equipment (FDE) which detects failures of MS. The analysis of system reliability is performed when the failure of FDE is possible. Several repair policies are considered to determine the order of repair of failed systems, which are sequential repair (SQ), priority repair (PR), independent repair (ID), and simultaneous repair (SM). The states of MS-FDE systems are represented by Markov models according to repair policies and the main purpose of this paper is to derive the system availabilities of the Markov models. Analytical solutions of the stationary equations are derived for the Markov models and the system availabilities are immediately determined using the stationary solutions. A simple illustrative example is discussed for the comparison of availability values of the repair policies considered in this paper.

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来源期刊

Communications for Statistical Applications and Methods STATISTICS & PROBABILITY-

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Communications for Statistical Applications and Methods (Commun. Stat. Appl. Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society. It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research. CSAM publishes articles on applied and methodological research in the areas of statistics and probability. It features rapid publication and broad coverage of statistical applications and methods. It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.