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Failure Mode and Effect Analyses (Stabilized: Jun 2016) 失效模式和影响分析(稳定:2016年6月)
发布日期: 2016-06-17
本可靠性公告为与故障模式和影响分析(FMEA)有关的工程和管理人员提供指南。此外,它还提供了有关故障模式和影响分析与相关专业的技术和功能关系的信息,例如,可维护性、安全性和系统有效性分析。本公告涵盖FMEA的要求、概念、接口、程序和报告。本公告应有助于更好地利用FMEA结果,并有助于工程和管理人员理解和理解FMEA的目的。故障模式和影响分析是对系统或其部分及其元件之间工作关系的研究,以确定故障发生的方式(故障模式)、每个潜在故障对其发生的系统元件和其他系统元件的影响,以及每个故障模式对系统任务成功的可能总体后果(关键性)。 关键性通常按类别分配,每一类别都根据任务目标的特定损失程度或人员安全的降低程度来定义。虽然人们认识到,人为因素在导致和避免故障方面都会产生重大影响,而且通常会产生重大影响,但本公告并未具体讨论这一方面。报告故障模式和影响分析是一项重要的行动,对于执行设计和开发、评估、测试、质量保证、后勤和运营相关分析和规划的人员之间的数据交流至关重要。
This Reliability Bulletin is provided as a guide for engineering and managment personnel concerned with Failure Mode and Effect Analyses (FMEA). In Addition, it provides information concerning technical and functional relationship of Failure Mode and Effect Analyses to associated disciplines, as for example, aintainability, Safety, and System Effectiveness Analyses. This Bulletin covers requirements, concepts, interface, procedures and reports of FMEA. This Bulletin should contribute to greater utilization of FMEA results and to the understanding and appreciation of the purpose of FMEA on the part of engineering and management personnel.Failure Mode and Effect Analysis is the study of a system, or portion thereof and working inter-relationships of its elements, to determine ways in which failures can occur (failure modes), effects of each potential failure on the system element in which it occurs and on other system elements, and the probable overall consequences (criticality) of each failrue mode on the success of the system's mission. Criticalities are usually assigned by categories, each category being defined in terms of a specified degree of loss of mission objectives or degradation of personnel safety. Although it is recognized that the human element can be, and requently is a major influence in both causing as well as avoiding failures, this aspect is not specifically treated in this Bulletin.Reporting of Failure Mode and Effect Analyses is an important action critical to communications of data to and from personnel performing related analyses and planning of design and development, evaluation, testing, quality assurance, logistics and operations.
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