PDM 结合FMEA 进行金融设备的故障诊断

金融系统的故障诊断要求标准高,针对金融系统金融产品从设计到生产相关文档齐全,各零部件参数详细,有着明确统一的标准的特点。在简单介绍PDM 和FMEA 的基础上,提出了PDM 与FMEA 相结合生成故障树进行金融设备故障诊断与维护的方法,将金融产品构成信息、产品功能信息及维修信息并融合产品设计阶段获取的诊断知识,进行诊断,使产品的设计、诊断与维护形成一个有机整体。详细阐述了PDM 结合FMEA 的生成故障树的知识表达及规则生成的原理,并以ATM 机为例进行了验证。     

ATM维修实例

故障现象一 ATM吐钞时卡钱,故障代码为:D901:3F:33:33。 故障分析与排除 打开DSP,发现钱确实卡在LVDT和出口之间,按照故障排除的一般方法,取出卡住的钱,清除错误状态,在Supply方式中做DSP TEST通过。但正式吐钞过程中仍有间歇性上述故障。通过上下互换钱箱,反复做DSP诊断中的DISPENS测试,排除了钱箱、DSP上所有轮子和导轨故障的可能性,最后确定问题出在feed modulel上。在反复做DSP诊断中的DISPENSE后,发现在连续吐钞中,feedmodulel会偶而出现将近1秒钟的停顿,然后继续吐钱,这就造成前后紧挨着的两张钱有部分重叠,于是引起卡钱。仔细观察feed modulel的动作,发现真空活门动作时的声音与其他模块略有不同,所以接着做DSP诊断中的VACUUM—OFF     

开发支持LANE的ATM交换机仿真模型

通过开发支持LANE的ATM交换机仿真模型，对利用OPNET仿真工具进行二次开发作了初步探讨。分析了所开发模块的仿真模型结构和仿真运行流程，介绍了实现ATM交换机中LANE服务器功能的仿真模块的开发和整合工作，最后将所开发模块加入到ATM网络仿真模型中进行仿真验证，通过对仿真结果的分析比较，证实了开发模块的正确性和可靠性。     

CB交换机添FDDI模块

4月初,3Com 公司推出了为其 CoreBuilder 3500交换机和下一代 CoreBuilder 9000企业级交换机而设计的新的 FDDI 模块。CoreBuilder 交换机新模块可以为用户实现向高速千兆位以太网、ATM 和可实现统一的第三层网络的平滑而可靠的升级路径。FDDI 接口模块可以被方便地集成进 CoreBuilder 3500与CoreBuilder 9000交换机中,并可以为用户提供千兆以太网与ATM 连接选项以及第三层交换控制功能。典型的交换机配置,例如将 FDDI 和快速以太网端口与千兆以太网或 ATM 下联端口混用,可以使用户将他们的网络主干从共享式的     

动态图像理解技术在ATM智能监控中的应用

探讨了利用动态图像理解技术对ATM进行智能监控,采用全方位视觉传感器(ODVS)实时采集ATM机周围的全景视频数据;从全景视频数据中提取出各活动对象的属性信息,并根据这些属性信息对各活动对象进行识别;通过对各活动对象的跟踪与分析,得到ATM状态、ATM周围相关人员的行为等信息;最后通过行为语义化处理手段对ATM的多种常见的可疑犯罪行为等进行了识别;实验结果表明,对于模拟ATM一些常见可疑犯罪行为的识别方面,系统具有鲁棒性高、安检内容多、监测范围广等优点,为预防ATM机等金融犯罪提供了一种新的手段。     

一种可扩展的ATM交换模块的设计

Prelude是一种优秀的 ATM交换机构 ,由于它最初是为实验目的而设计的 ,与实际的ATM传输速率、ATM信元结构等有很大的差别 .为了实现简便、实用的 ATM交换网络 ,文中对Prelude中不适合 ATM交换的部分进行了修改和补充 ,提出了一种基于 Prelude思想的 13× 13的实用 ATM交换模块 ,侧重点是将其实现方法具体化 ,并在此基础上提出了交换模块的扩展方案 .实用 ATM交换模块利用 ATM信头中 HEC字节不参与交换的特点 ,将信元分成 13段进行交换 ,具有实现简单、对器件的要求低、可扩展性好的特点     

第三层千兆以太网国内已有用户

LANNET公司于12月初发布的新产品Mentage 1400已有三家国内用户:海洋石油总公司、一汽集团和上海八运会。Meritage 1400将第三层千兆以太网和ATM交换集成到一个机箱中,其吐吞量总计超过90Gbps,含有14个插槽,每模块包含自己的机载交换ASIC和管理工具。Mentage 1400支持210个155Mbps ATM端口,52个622Mbps     

建行改进ATM机

本刊讯建设银行上海分行近日对该行所属的ＡＴＭ 机进行了改进。无论是异地卡还是其他银行的卡都不会再出现吞卡的现象;对于过期的银行卡,也不会自动收回,而是在吐卡的同时显示“此卡已过期,请持卡与发卡银行联系、如果客户输错了密码,机器将会提示“客户密码错误”。 而且建行的ＡＴＭ机允许客户连续输错密码９次,９次之后自动将卡吐出。建行改进ATM机     

一种先进的局域网仿真客户机的实现方法

异步传递方式(ATM)是实现B-ISDN的核心技术。局域网仿真是通过ATM网络来实现局域网的互连互通,是ATM的关键技术。文章参照ATM论坛的建议设计了一种局域网仿真容户机,并对该客户机的组成、原理、主要功能及其基本配置等进行了介绍、分析和描述。     

三防并进保ATM平安

自从ATM机面世后,越来越多的人选择任ATM机上存款或取款。但不可避免的是,日前很多ATM机,采用的是无人值守的方式,很难做到对ATM机实时保护。如何才能做到实时监控,保护好ATM机呢？     

Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR

Enterprise architecture (EA) is an approach for managing all components of enterprise and relationships among them. By implementing EA, the organization will be threatened from different aspects. We used failure mode and effect analysis (FMEA) which is a powerful tool for evaluating EA risks. In traditional FMEA, risk priority number (RPN), has been calculated by multiplication of three criteria, severity, occurrence and detection. Because of some drawbacks of the traditional FMEA, this paper—instead of calculating RPN—prioritizes EA risk factors with fuzzy VIKOR. VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, means Multi-criteria Optimization and Compromise Solution) is a multiple attribute decision making technique which aims to rank EA risk factors with respect to the criteria. As regards using linguistic variables, fuzzy approach is used to allow experts to use linguistic variables. The proposed method is used for evaluating twenty EA risk factors, which integrates knowledge and experience acquired from professional experts.     

基于建康管理技术的机载计算机智能故障诊断方法

为了满足飞机机载电子设备以状态监控为基础的视情维修保障策略,提升设备可维护性,提出了一种基于在线检测、故障预测、辅助决策的健康监控管理故障诊断方法,支持对机载电子设备的健康状态进行预测和评估。通过划分机载电子设备子功能的敏感威胁区域,对这些区域设计专门的威胁预警监控电路,进行功能危害监控,建立推理监控模型对监控电路故障进行预警监控,结合辅助决策的方式对预警到的故障进行定位,实现对电子设备的智能故障诊断。通过FMEA的分析与故障注入测试验证,该预警电路、推理模型和辅助决策能有效的预测故障及定位,具有较高的故障预测覆盖率,可提高机载计算机的维修性、降低维修时间,在电子设备视情维修策略上具备工程应用价值。     

基于FMEA和模糊Petri网推理的装备保障过程诊断研究

为满足装备保障过程分析、瓶颈优化的需要,提出基于失效模式影响分析(FMEA)和模糊Petri网推理的装备保障过程诊断方法,通过FMEA建立装备保障过程诊断的因果图,由因果图确定保障过程诊断的推理规则,应用模糊Petri网建立智能的、利于计算机编程实现的保障过程诊断的过程模型。通过研究发现,基于FMEA的规则形成方法便于知识、经验向规则的准确转换提取,模糊Petri网的方法利于将推理过程形式化,实现推理的自动化,提高过程诊断的效率。研究的过程诊断模型和方法已在集群装备保障过程优化决策系统实现中取得较好的效果。     

基于模糊综合评估的嵌入式系统FMECA

为解决广泛应用于安全关键领域的嵌入式系统的可靠性分析问题,该文提出了一种基于模糊综合评估的嵌入式系统FMECA（失效模式、影响及危害性分析）方法。该力法分两步进行：首先根据嵌入式系统软硬件紧密结合的特点,对系统进行硬件FMEA（失效模式与影响分析）,软件详细FMEA以及接口FMEA;然后考虑到评估系统可靠性的失效模式影响因素具有模糊性和不确定性,常规分析方法难于给出有效而准确的评估结果,因此引入模糊综合评估法进行CA（危害性分析）。随后的实验结果证明了这种方法的有效性。     

Predicting uncertain behavior of industrial system using FM—A practical case

As such the reliability of system is affected by many factors such as design, manufacturing, installation, commissioning, operation and maintenance. Consequently it may be extremely difficult if not impossible to model, analyze and predict the failure behavior of system.To this effect, the authors presented a structured framework which makes use of fuzzy methodology (FM), an approximate reasoning tool to deal with the imprecise, uncertain and subjective information related to system performance. The component related objective events are modeled with the help of the Petri net model of the system. Various parameters of managerial importance such as repair time, failure rate, mean time between failures, availability and expected number of failures are computed to quantify the uncertain behavior of system. Further, to improve upon the reliability characteristics of the system, in-depth qualitative analysis of unit is carried out using failure mode and effect analysis (FMEA) by listing all possible failure modes and their causes. A decision support system based on fuzzy set theory is developed to counter the limitations of traditional FMEA. The framework has been applied to model and analyze a real complex industrial system from paper mill.     

结合OWA算子和模糊DEMATEL的风险评估方法

针对传统故障模式与影响分析(FMEA)方法在实际应用中的不足,提出一种基于有序加权平均(OWA)算子和决策试行与评价实验法(DEMATEL)的风险排序方法。FMEA专家对故障模式的3个风险因子给出模糊评价信息,应用OWA算子对评估信息进行集结,得到各故障原因对故障模式的影响强度。采用模糊DEMATEL法构建FMEA系统要素间的初始直接影响矩阵,经过运算可得综合影响矩阵,并计算各故障原因的原因度,据此进行产品或系统的失效风险评估。运用该方法对地铁车门系统的基础部件进行安全性分析,并将所得结果与传统RPN方法的结果做对比,验证了该方法的可行性和有效性。     

Risk analysis for occupational safety and health in the textile industry: Integration of FMEA,FTA, and BIFPET methods

Identifying and managing health and safety risks that threaten personnel in production systems are vital for the continuity and success of organizations. Many tools are used to accurately analyze and assess risks. Failure mode and effect analysis (FMEA) is one of the most commonly used tools in different industries. However, the accuracy and reliability of FMEA method have been fairly criticized by many researchers in the field. In this study, an approach based on FMEA that integrates the advantages of the fault tree analysis (FTA) method and belief in fuzzy probability estimations of time (BIFPET) algorithm has been proposed in order to improve the performance of the FMEA method. In order to practically apply the proposed method to real life problems, it has been employed to analyze and assess the potential risks for a finishing process in the fabric dyeing department of a textile company. The performance of the proposed FMEA-FTA-BIFPET method has been compared to the results obtained by FMEA-FTA and FMEA-FTA-program evaluation and review technique (PERT) distribution integrated methods. The results of this study show that failure related to fabric trimming adjustment in the tenter has the highest risk priority number. The proposed approach can be used in various industry for risk analysis. In addition, results obtained by the study have indicated that the proposed approach can be implemented in practice to perform comprehensive risk assessment procedures as it reflects real-life dynamics to analyze and assess potential risk.     

A smart process controller framework for Industry 4.0 settings

This paper presents a smart supervisory framework for a single process controller, designed for Industry 4.0 shop floors. This digitization of a full supervisory suite for a single process controller enables self-awareness, self-diagnosis, self-prognosis, and self-healing (by definition, these "self" elements are missing from other supervisory frameworks diagnosing numerous controllers in parallel). The proposed framework is aligned with the concept of a Cyber Physical System (CPS), since its implementation generates a rich cyber physical entity of the controlled process. This CPS entity can either be considered as the process digital twin, or can provide a solid basis for generating it. Finally, the framework includes the main characteristics of Industry 4.0, such as advanced use of Artificial Intelligence (AI) and big data analysis. The framework is based on four modules: (1) Control and Awareness module—performing both continuous process control and adjustments, as well as machine learning (ML) and statistical process control (SPC) for identifying abnormalities that require further diagnosis; (2) Process -diagnosis module—performing continual (recurrent) analysis of the process state and trends; (3) Prognosis and Healing module—performing prognosis and automated intervention via parameter changes, re-configurations, and automated maintenance; (4) External Interaction Platform—an interactive module for interfacing with experts, presenting them with the process analysis information and obtaining feedback from them as part of a learning process. Using an implementation showcase to illustrate the methodological framework’s applicability, we demonstrate its real-world potential. The proposed framework could serve as a guide for implementing smart process control and maintenance systems in Industry 4.0 shop floors. It could also provide a firm basis for comparison with future suggested frameworks. Future research directions could include pursuing improvements to the proposed process control framework and validating the framework by case studies of its implementation.

     

Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA)

While seeking for global suppliers is a general trend for lower cost and better quality, it is not trivial for a company to assess the corresponding risks in supplier selection. This paper proposes the supplier selection method that applies failures modes and effects analysis (FMEA) to assess the risks in the decision process. As each supplier is evaluated under the common multi-criteria framework, risks are viewed as the possible deviations from expected performance, and they are interpreted as failure modes in risk analysis. Following the concepts of FMEA, each failure mode is examined with respect to the possible causes and effects. This method generates two technical deliverables for supporting risk analysis. Firstly, the FMEA document is developed to support the team’s discussion of supplier risks and accumulate the risk knowledge within the company. Secondly, the ranking numbers based on FMEA (i.e., risk priority numbers) are utilized to evaluate a discount on a supplier’s performance according to their risk level. A real-case example about selecting methanol suppliers in the global market is used to demonstrate the proposed method for risk analysis in practice.