Common cause failures: definitions and typical errors

Author:

Netes V. A.1

Affiliation:

1. Moscow Technical University of Communications and Informatics

Abstract

The Aim of the paper is to analyse the definitions of the term “common cause failures” given in various international and Russian standards and point out their shortcomings; to identify and analyse the typical errors in the use of this notion and consideration of such failures as part of system dependability calculation. The importance of the topic is due to the fact that such failures reduce the efficiency of redundancy and must be taken into account in the process of the design of systems with high dependability requirements. Methods. The paper provides a comparative analysis of the definition of common cause failures given in Russian and international standards; analyses the methods of taking into account the effect of such failures presented in various publications; uses methods of the probability theory. Results. Differences between standards were identified in terms of the definition of the term “common cause failure”, as well as shortcomings of such definitions. Typical errors were pointed out in some publications dedicated to the methods of taking such failures into consideration. The simplest and most common beta-factor model was considered in most detail, the limits of its application were pointed out. Conclusions. It is advisable to use a single definition of common cause failures in different standards. It is to be taken from the basic terminological dependability standard with an appropriate reference. In the term itself and its definition, the word “failures” is to be in plural. The definition of this term in GOST EN 1070-2003 and GOST 34332.3-2021 are wrong, as they in no way correspond to the content of the defined notion. The conventional beta-factor model intended for taking into account common cause failures in the process of failure probability calculation can only be used in case of such probabilities being low.

Publisher

Journal Dependability

Subject

General Medicine

Reference17 articles.

1. Kartsev V.P., Khazanovsky P.M. [Beyond the elements: second edition]. Moscow: Znanie; 1980. (in Russ.)

2. Jones H.W. Common cause failures and ultra reliability. 42nd Intern. Conf. on Environmental Systems; San Diego; 2012. Available at: https://www.researchgate.net/publication/268473930_Common_Cause_Failures_and_Ultra_Reliability.

3. IEC 60050-192:2015. International Electrotechnical Vocabulary – Part 192: Dependability.

4. GOST R 27.102– 2021. Dependability in technics. Dependability of item. Terms and definitions. (in Russ.)

5. Aronov I.Z. [Analysis of secondary failures is an important way of ensuring the safety of complex systems]. Metody menedzhmenta kachestva 2004;10:49-53. (in Russ.)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Common Cause Failures in Communication Networks;2024 Systems of Signals Generating and Processing in the Field of on Board Communications;2024-03-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3