机械零部件可靠性设计之概率设计法

介绍了机械产品及机械零件可靠性设计的特点、为提高机械产品的固有可靠性列出了机械零部件的可靠性设计方法。     

可靠性工程技术应用——第三讲：机械零部件可靠性概率设计及应用

1 基本概念 机械产品的可靠性是衡量机械产品质量的一个重要指标，随着科学技术的发展，对机械产品的可靠性要求也日益提高。要提高机械产品的可靠性，必须首先从设计上解决机械产品的固有可靠性要求，然后在制造中加以保证。     

证据理论在Bayes可靠性评估中的应用

提出了一种基于D-S证据理论的Bayes可靠性评估方案,很好地表达和利用了Bayes方法中的"不确定的"先验信息。在无替换定数截尾试验样本下,研究了指数寿命型产品的可靠性指标的估计问题,提出了可靠性评估的两种方法 :通过融合可靠性指标的后验分布进行综合评估和通过融合可靠性指标的后验置信区间进行综合评估。数值实例表明,利用所提出的方法得到的评估结果是"谨慎的"和合理的。     

基于概率与区间的盾构机云腿混合可靠性分析

针对大型复杂装备盾构机结构强度可靠性设计问题,选取其关键部件云腿结构作为研究对象。由于结构系统存在失效性,使可靠性受到影响。提出利用区间数学理论、区间退化理论和可靠性设计方法,将盾构机云腿参数的不确定参量的概率密度函数相关参数作为区间数。并考虑到云腿最易失效模式为强度失效,而强度表达式为高非线性,很难求解。利用一次二阶矩方法得出盾构机云腿强度的概率分布带区间的可靠性设计模型,提出了一种新的盾构机云腿可靠性设计思路。讨论了参数区间不确定水平对盾构机云腿可靠性的影响。结果表明,改进方法适合工程应用,对原始数据要求较低,为缺少试验数据的盾构机云腿结构可靠性分析提供了一种有效分析方法。     

概率粗糙集模型在机械故障诊断中的应用

机械故障产生的机理比较多且表现形式具有不确定性,概率粗糙集模型弥补了Pawlak粗糙集模型在解决知识不确定性决策问题时的不足。概率粗糙集模型能充分利用近似边界区域提供的统计信息,并能对给定概念一个更完整的刻画,因而可以提取带有确定因子的决策规则。首先论述了概率粗糙集模型并引进了概率粗糙集模型的属性约简,然后介绍了在机械故障诊断中有关Bayes决策问题的概率粗糙集模型,最后用一个实例说明概率粗糙集模型在机械故障诊断中的应用。     

非相似余度飞控计算机设计及可靠性分析

余度容错技术是随着计算机系统可靠性的需求而产生和发展的。为了避免共性故障的产生,实现飞控计算机系统各性能指标,研究非相似双余度飞控计算机系统结构。应用广义随机Petri网建立该飞控计算机系统的模型,利用马尔可夫链来计算和分析该系统的可靠性,在分析结果的基础上,提出系统研究方案的可实施性。     

关于机械可靠性设计的原理分析

合格的产品必须经过严格的设计、生产和筛选才能进入市场,只有产品可靠,才能在市场的竞争中脱颖而出。而与电子产品的可靠性能不同,机械产品的可靠性在我国现阶段下依然不够成熟。对机械进行可靠性研究已经逐渐成为了全世界相关专家、学者不断探寻的重要问题。本文就针对如何提高机械产品的可靠性进行研究,介绍了世界其它国家的机械可靠性,分析其特点,并将其与我国的机械可靠性相对比,找出我国在设计上存在的一些缺陷和不足予以改进,从而推动我国机械可靠性设计的新发展。     

电路仿真在可靠性设计中的应用

本文介绍了应力分析可靠性预计的作用与意义,应用电路仿真准确分析电路中各个器件的电应力和结温,对元器件的正确选择、电路的合理设计起到一定作用,提高了降额设计的准确性和效率,从而提高了电路的可靠性.     

区间分析及其在控制理论中的应用

对区间分析理论及其在控制领域的应用进行了综述．首先简单阐述了区间分析的基本原理,包括区间计算、区间Newton法和区间全局优化方法等;然后对区间方法在参数与状态估计、鲁棒控制、智能理论等方面的应用研究成果进行了归纳和总结;最后分析了区间方法在控制理论应用研究中所面临的主要问题,并展望了未来的研究方向．     

非相似三余度飞控计算机设计和可靠性分析

飞控计算机的可靠性直接影响到飞机的生存能力.为避免飞控计算机产生共性故障,增强飞控计算机系统的安全性和稳定性,研究了非相似三余度飞控计算机系统结构,应用广义随机Petri网建立该系统的故障模型,利用马尔可夫链来计算和分析该系统的可靠性,并与非相似双余度飞控计算机的可靠性进行比较,通过结果分析来验证该研究方案的可行性.     

独立故障串并联控制系统可靠性的最优化研究

研究了独立故障的串并联复式控制系统在单个或多个约束条件下的可靠性最优化问题。从系统的物理概念出发,提出了一种混合方法。按照连续变量平衡提高各级串联环节的可靠性,分析得出了在约束条件下各个环节的并联个数的计算公式和简化计算思路。     

Convergence properties of an interval probabilistic approach to system reliability estimation

Based on a black box model of a complex system, and on intervals and probabilities describing the known information about the inputs, we want to estimate the system's reliability. This problem is motivated by a number of problem areas, most specifically in engineering reliability analysis under conditions of poor measurement and high complexity of system models. Using the results of tests performed on the system's computer model, we can estimate the lower and upper bounds of the probability that the system is in a desirable state. This is equivalent to using Monte-Carlo sampling to estimate cumulative belief and plausibility values of functionally propagated finite random intervals. In this paper, we prove that these estimates are correct in the sense that under reasonable assumptions, these estimates converge to the actual probability bounds.     

工业控制系统可靠性设计技术应用研究

目前工业控制系统已广泛应用于冶金、机械、石油、化工、环保等领域,然而我国研制的工业控制系统可靠性较差,国外系统占领了国内60%以上的市场份额。面对日趋激烈的市场竞争,工业控制系统的可靠性越发重要。本文主要针对分散控制系统的可靠性设计技术应用研究进行阐述。     

可靠性设计专家系统软件的研发及应用

介绍了我所自行研制的“可靠性设计专家系统”软件在具体产品可靠性设计中的应用。该软件内容丰富,适用性、可操作性强,具有很广泛的应用前景。     

计算机网络系统可靠性分析及在矿山的应用

随当前我国计算机网络技术的不断快速发展,以及全球信息化的发展趋势日渐成型,人们对于信息的需求也愈发地渴望.正是基于此时代背景,以信息作为传输载体的计算机网络系统也应势而起,并且其可靠性、安全性也更加受到让人们的关注.本文中研究了计算机网络系统可靠性,比较了存在的优劣问题,并探讨其应用于矿山计算机系统的可行性.     

智能化仪器仪表可靠性技术研究及应用

主要介绍我所即将进行"智能化仪器仪表(以下简称仪表)的可靠性技术研究及应用"课题的主要研究内容及技术方案:研究对仪表可靠性设计、分析技术的工程应用软件的实现技术;建立先进的可靠性测试技术和测试平台,为仪表的可靠性研究及应用提供科学的依据和易操作的工具。     

Simulation-based analysis of middleware service impact on system reliability: Experiment on Java application server

Being a popular runtime infrastructure in the era of Internet, middleware provides more and more services to support the development, deployment and management of distributed systems. At the same time, the reliability of middleware services has a significant impact on the overall reliability of the system. Different services have different impacts and different service fault-tolerance solutions have different costs and risks. Therefore, the identification of the services that greatly affect the whole system reliability is the major obstacle to achieving reliable middleware-based systems. In this paper, we present an analytical framework to automatically reason and quantify such impacts when deploying the target system. In this framework, faults are represented by exceptions in modern programming languages; service failures are simulated by software fault injection; reliability impacts are measured by scenarios. This framework is demonstrated on multiple JEE application servers, including JBoss, JonAS and PKUAS. The experiments on two JEE blueprint applications, namely JPS and ECperf, show the feasibility, the applicability and the usability of this framework.     

可编程控制器系统可靠性的设计

PLC广泛应用于社会生产各个行业，因此讨论其可靠性以及提出设计方案是非常必要的。文章分析了最为关注也是最为影响PLC可靠性的供电系统设计和接地设计，首先具体提出了供电系统保护措施的四种方法以及一般PLC系统供电电源设计，在I／O模板供电电源设计中则给出了24V直流和220V交流两种I／O模板的供电设计，最后分析了接地设计中应注意的问题并着重分析了接地电阻的选择。     

A survey on decision-making based on system reliability in the context of Industry 4.0

The business world is continually changing. Dynamic environments, full of uncertainties, complexities, and ambiguities, demand faster and more confident decisions. To compete in this environment, Industry 4.0 emerges as an essential alternative. In this context, the reliability of manufacturing is an essential aspect for companies to make successful decisions. In the literature, several technologies associated with Industry 4.0 have been applied to improve the availability of equipment, including the Internet of Things (IoT), Cyber-Physical Systems (CPS), blockchain, and data mining. Nevertheless, there is still no survey study that seeks to show how reliability has collaborated to support decision-making in organizations, in the context of Industry 4.0. In general, most applications still focus on the productivity and health of individual equipment. However, in today's volatile and complex businesses, local decisions are no longer sufficient; it is necessary to analyze the organization entirely. Thus, being aware of the impacts that a local failure can impose on the entire company has significant weight in the decision-making process. In this context, this article presents a survey to identify how researches on systems reliability has contributed to and supported the development of decision-making in Industry 4.0. The main contribution of this article is to highlight how reliability can be used to support different types of strategic decisions in the context of Industry 4.0. Finally, it highlights the need for research associating management decisions with the technologies of Industry 4.0.     

A study of interval metric and its application in multi-objective optimization with interval objectives

The aim of this paper is to discuss the optimality of interval multi-objective optimization problems with the help of different interval metric. For this purpose, we have proposed the new definitions of interval order relations by modifying the existing definitions and also modified different definitions of interval mathematics. Using the definitions of interval order relations and interval metric, the multi-objective optimization problem is converted into single objective optimization problem by different techniques. Then the corresponding problems have been solved by hybrid Tournament Genetic Algorithm with whole arithmetic crossover and double mutation (combination of non-uniform and boundary mutations). To illustrate the methodology, five numerical examples have been solved and the computational results have been compared. Finally, to test the efficiency of the proposed hybrid Tournament Genetic Algorithm, sensitivity analyses have been carried out graphically with respect to genetic algorithm parameters.