选频电容器在电缆局部放电试验中的保护作用

文章阐述了带电做电缆局部放电试验的工作原理,分析了其在试验接线存在的安全隐患及保护措施,仅供参考。     

FMEA在实验室质量管理中的应用

为持续改进质量管理,确保检验检测工作质量,在实验室质量管理中,运用失效模式和效益分析（failuremode andeffectsanalysis,FMEA）进行风险管理。本文基于FMEA的实验室质量管理方式,以人、机、料、法、环为分类方式,结合近6年内外部评审中所产生的不符合项、原因分析及纠正措施的具体示例进行评估分析。通过将实验室风险评估后的风险等级结合实验室现有的5S管理体系,提出针对性的应对措施,以期能有效地控制风险,更好地开展实验室质量管理。FMEA模型在实验室质量管理中的运用,可以清晰分析出实验室当前存在的风险,防止高风险质量问题的发生,有效促进5S管理体系逐步开展,不断完善实验室质量管理。     

浅谈酸度计温显电路及故障处理

本文通过酸度计测量原理,阐明被测溶液温度在pH值测量中的重要性。浅显分析常用的pHS-3B型酸度计温度显示电路及其故障分析处理。     

FMEA在消防系统管理与维修中的应用

通过对消防系统进行FMEA分析,可了解消防系统的设计制造缺陷、构造功能和潜在的故障类型,可帮助消防管理人员管理与维修消防系统,提高消防系统的本质安全。     

FMEA在车用部件装配设备规划选型阶段应用

FMEA（Failure Mode and Effect Analysi s,失效模式和效果分析）作为一种用来确定潜在失效模式及其原因的分析方法。目前已广泛应用于各行业的产品设计与开发方面,并且在产品的持续改进中也发挥了重要作用。本文通过对设备投资项目实施过程,尤其是设备规划选型阶段的展开分析,揭示TFMEA作为一项预测分析工具的更为广泛的应用范围,为该工具的应用开拓了新思路。     

基于FMEA的化学分析原始记录设计与应用

对材料理化性能检测实验室化学分析项目的 实验过程及原始记录设计进行分析与讨论,根据潜在失效模式及影响分析FMEA(failure mode and effect analysis)原理,将FMEA方法运用到实验过程的风险分析及管理中,将发现和补救机制融合到原始记录的设计中,对实验过程的质量控制进行闭环管理,有效减少操作...     

MapleSim在振动仿真中的应用

目的利用MapleSim软件,探究数值-符号仿真应用于包装振动领域的可行性。方法首先,根据单自由度振动模型构建并验证理论状态下的单层负载振动模型;在此基础上提出可应用于随机振动的仿真模型,进一步研究仿真关键参数的计算方法;最后进行随机振动试验,将试验与仿真结果进行对比与分析。结果 PSD分析表明,不论中间还是角落位置,仿真PSD与实验PSD的变化趋势一致,但仿真PSD在低频(10~40 Hz)下会产生一定的误差,该误差对于角落振动的情况更为显著;Grms值的对比表明仿真误差小于10%。结论基于MapleSim的数值-符号仿真模型能够反映真实振动,该方法应用于随机振动具有可行性及可信度,但文中方法尚存在仿真误差,需进一步优化仿真关键参数的计算方法。     

多媒体技术在视景仿真中的应用

多媒体技术就是指通过对计算机对视频、动画、声音、图像、图形、文本等多种信息进行处理以及建立一定的逻辑关系的技术。视景仿真又叫虚拟仿真技术或者虚拟现实技术,是运用计算机技术为核心,采用现代高科学技术制作出栩栩如生的触觉、听觉、视觉一体化的虚拟环境的技术。通过对多媒体技术和视景仿真技术的概述,对多媒体和虚拟现实技术在计算机仿真中的应用背景进行概述,并具体分析多媒体技术在虚拟现实技术中的应用及其相关案例。     

FMEA在不对称高压脉冲轨道电路设计过程中的应用

简要概述FMEA基本概念及分析过程,并描述FMEA在不对称高压脉冲轨道电路设计开发中的分析过程、严酷度等级划分、故障模式概率程度划分、分析结果等内容。     

军用软件引入FMEA分析法初探

故障模式及影响分析(FMEA)是一种预防型质量管理方法,用于硬件可靠性、安全性分析,广泛应用于军事航天、核工业、电子设备、机械制造业等领域,并取得了较好的效果。我们探讨将硬件FMEA分析法引人军用软件领域,以提高软件产品的可靠性和安全性,保证产品质量。     

A quantitative method for Failure Mode and Effects Analysis

Failure Mode and Effects Analysis (FMEA) is commonly used for designing maintenance routines by analysing potential failures, predicting their effect and facilitating preventive action. It is used to make decisions on operational and capital expenditure. The literature has reported that despite its popularity, the FMEA method lacks transparency, repeatability and the ability to continuously improve maintenance routines. In this paper an enhancement to the FMEA method is proposed, which enables the probability of asset failure to be expressed as a function of explanatory variables, such as age, operating conditions or process measurements. The probability of failure and an estimate of the total costs can be used to determine maintenance routines. The procedure facilitates continuous improvement as the dataset builds up. The proposed method is illustrated through two datasets on failures. The first was based on an operating company exploiting a major gas field in the Netherlands. The second was retrieved from the public record and covers degradation occurrences of nuclear power plants in the United States.     

Failure mode and effects analysis in the U.K. motor industry: A state-of-the-art study

This paper reports the main findings of a questionnaire survey on the use of failure mode and effects analysis (FMEA) in the United Kingdom motor industry. Survey data were obtained from 78 organizations. Among the main findings are: the majority of suppliers only started to use FMEA because it was a contractual requirement of their customer; however, a number of them are now seeking to make more use of the technique to facilitate their process of quality improvement; FMEA is treated by the majority of organizations as a team activity; engineers still view FMEA as a hard slog; more use should be made of computerized aids to reduce the effort in preparing and updating the FMEA; and the main difficulties encountered in the use of FMEA are related to time constraints, poor organizational understanding of the importance of FMEA, inadequate training and lack of management commitment. It is also pointed out that organizations are not satisfied with the current training courses on FMEA.     

质量管理的新途径─—故障可能性及其影响分析在过程组织中的应用

故障可能性及其影响分析的方法，由于它在设计、制造中具有预防性的作用，现已发展成为一个受人重视的、用以避免差错的应用工具。然而，在有组织地进行订单处理时，过程中经常出现缺陷。它们在各种业务活动中都会发生。在改进过程潜力方面，FMEA方法提供了按目标进行过程分析的可能性。其目的是通过识别引起误差的原因并加以权衡，然后采取措施。通过这些措施将过程组织改造成为一个受控制的过程，这正如在工艺过程中人们所努力的那样。     

The use of computer-aided engineering in reliability studies

This paper discusses how computer-aided engineering can be extended beyond the use of design verification into the area of dynamic failure effects analysis for both digital and analogue electronic circuits as well as complete systems encompassing any engineering discipline.     

Utility Priority Number Evaluation for FMEA

Traditionally, decisions on how to improve an operation are based on risk priority number (RPN) in the failure mode and effects analysis (FMEA). Many scholars questioned the RPN method and proposed some new methods to improve the decision process, but these methods are only measuring from the risks viewpoint while ignoring the importance of corrective actions. The corrective actions may be interdependent; hence, if the implementation of corrective actions is in proper order, selection may maximize the improvement effect, bring favorable results in the shortest times, and provide the lowest cost. This study aims to evaluate the structure of hierarchy and interdependence of corrective action by interpretive structural model (ISM), then to calculate the weight of a corrective action through the analytic network process (ANP), then to combine the utility of corrective actions and make a decision on improvement priority order of FMEA by utility priority number (UPN). Finally, it verifies the feasibility and effectiveness of this method by application to a case study. An erratum to this article can be found at     

失效模式影响分析在品牌安全管理中的应用

把FMEA用于品牌安全管理体系,要点在于区分品牌结构层次的安全和功能层次的安全,从而约定品牌的结构层次作为失效模式的观察对象,品牌功能层次为失效影响的观察对象。根据FMEA管理的思想,把由一个原因所产生的失效模式定义为一个失效模式,则该原因发生的概率、该原因导致失效模式发生的概率和失效模式的影响分别对应失效模式的发生度、检测度和严酷度。依此建立的FMEA管理表格和FMEA管理流程,可由企业的品牌管理人员实施,以对品牌安全进行管理。