考虑人为因素的可靠性评估

统计数据表明,系统的可靠运行不可忽略人为误操作造成的故障,该故障发生率有时甚至超过设备本身导致的系统故障发生率。将人为因素与设备自身因素造成的系统故障进行对比,分析人为因素造成系统故障后的特点,可得出人为因素的可靠性参数。根据解析法和模拟法的相关理论计算考虑人为因素的可靠性指标,可以看出考虑人为因素的计算结果更加符合实际运行特点,便于相关人员采取对策,保障系统的安全运行。     

Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

A subsea blowout preventer (BOP) stack is used to seal, control and monitor oil and gas wells. It can be regarded as a series–parallel system consisting of several subsystems. This paper develops the dynamic Bayesian network (DBN) of a parallel system with n components, taking account of common cause failures and imperfect coverage. Multiple error shock model is used to model common cause failures. Based on the proposed generic model, DBNs of the two commonly used stack types, namely the conventional BOP and modern BOP are developed. In order to evaluate the effects of the failure rates and coverage factor on the reliability and availability of the stacks, sensitivity analysis is performed.     

Structural reliability analysis of contact fatigue design of gears in wind turbine drivetrains

Advances in the design of large scale wind turbines have raised an interest for more optimized life cycle design of mechanical components (e.g. gears, bearings, shafts, etc.), with a better understanding of their performance over time. Development of the non-systematic, often deterministic design methods followed by the application of corresponding design standards that incorporate experience from current common practice have managed to produce mechanical components that comply with minimum safety requirements. However, such approaches cannot achieve optimized mechanical components, neither account for the performance over their service lives. Reliability-based design currently represents the most advanced method in order to achieve the targets mentioned above, by explicitly considering uncertainty of design variables. This paper describes a structural reliability method (SRM) for fatigue analysis of mechanical components of wind turbines. The method is based on the ‘so-called’ limit state functions of relevant failure modes. Two gear tooth fatigue failure modes (surface and subsurface pitting) were considered. The method is exemplified by a time-domain based gear contact fatigue analysis of the National Renewable Energy Laboratory's 750 kW land-based wind turbine. The sensitivity of the reliability index on some random parameters used for reliability-based gear contact fatigue analysis is estimated. The effect of inspection on reliability analysis is also briefly investigated.     

A reliability evaluation method based on the weakest failure modes for side-by-side offloading mooring system of FPSO

Offshore structures are complex systems, and numerous failure modes must be taken into consideration when reliability analysis in different loads and environment conditions are conducted on them. It is difficult to obtain structural system reliability with respect to complicated systems with numerous failure modes and dependency consideration among them. This paper applies the combination of the weakest failure modes theory with structural reliability theory to conduct reliability analysis on of side-by-side offloading mooring system of FPSO. Firstly, the numerical simulation of the system in different conditions is addressed to acquire the statistical data of time-history stress of components including hawsers, fenders and yoke, based on which, the reliability indexes of all the failure modes and correlation coefficient matrix are derived. Then the weakest failure modes, i.e. the representative failure modes that have significant impact on the system, are located through Probability Network Evaluation Technique. The probability of structural system is estimated through the weakest failure modes by considering the system as series. The analysis results indicate that two environment conditions (0°&0°&0° and 0°&30°&45° in combinations of wave, wind and current) are relative dangerous, which is in good correspondence with the practical expertise. The method is verified to be an effective and convenient evaluation approach for structural reliability analysis in terms of complex systems. It is beneficial for the identification of structure indicators from the weakest failure mode group and conduct optimum of structural system configurations in the design stage.     

基于模糊层次分析法的木结构古建筑安全评价

为准确地对木结构古建筑进行安全现状评价,考虑到木结构古建筑的结构复杂性,本文提出一种基于模糊层次分析法的木结构古建筑评价方法。利用该方法对故宫博物院景福宫进行检测和评价。结果表明:利用层次分析法对木结构古建筑进行安全性评价简单可行,与传统的评级法相比,该方法可考虑不同构件对结构安全性的贡献程度以及不同属性对同一构件安全性的贡献程度,提高了木结构古建筑安全评价的准确性和可靠性。     

基于多故障冲击模型和故障树的PFDavg计算方法研究*

为提高安全仪表功能（SIF）要求时危险失效平均概率（PFDavg）计算结果的精确度,提出1种能准确计算SIF在多重共因失效影响下的PFDavg的数学模型。建立包含多重共因失效的系统失效故障树,然后利用多故障冲击模型区分普通失效率和多重共因失效率,根据瞬时不可用率的定义和故障树的逻辑关系计算出SIF的瞬时不可用率;基于PFDavg的定义,计算出SIF的PFDavg,以某化工企业SIF为例进行验证。结果表明:方法有效考虑了多重共因失效对SIF的影响,通过模型计算出SIF的PFDavg大于基于马尔可夫（Markov）方法的软件计算结果,但二者处于相同的数量级。模型在评估SIF的PFDavg时比传统方法偏保守,能提高安全仪表功能的安全性。     

基于CREAM方法的人因失效概率预测模型研究

认知可靠性与差错分析方法(CREAM)是第二代人因可靠性分析方法中的代表方法之一,通过对任务环境进行分析从而直接确定人为差错发生概率。本文分析了该方法及其后续研究在人因可靠度评估时存在的主要问题,并以CREAM方法为基础建立新的人因失效概率预测模型。模型首先要求有针对性的对具体任务环境确定通用性能影响因子(CPC)权重,然后通过对CPC进行打分对任务环境进行量化,通过加权求和的方式分别计算出CPC的改进总分值G和降低总分值J,最后运用新建的预测模型计算出人因失效概率。新模型提出了三点改进:第一将任务环境设定为连续的空间;第二提出了不同的工作环境(任务环境)应该有其对应的CPC因子权重;第三考虑正影响CPC因子和负影响CPC因子的双重影响,建立双变量预测模型,预测结果更加合理。     

基于改进成功流法的消防系统可靠性研究

在多信号输入系统的可靠性研究中,传统GO法存在计算复杂、易出现误差和遗漏的缺点。将卡诺图化简法引入传统GO运算,利用其“合并同项,简化运算”的特点构建研究多信号输入系统可靠性的新GO模型。将其应用于预作用喷水灭火系统,对具有多启动方式的给水泵进行可靠性分析,并与事件树运算结果比较,证明新GO模型适用于具有多信号输入系统的可靠性研究。研究表明,通过采取措施降低多信号元器件故障概率可以提高系统整体可靠性。     

基于BN-CREAM的深水井控压井作业风险诱因研究

深水井控压井作业是有效控制溢流演化为井喷事故的二级井控工艺屏障。为提高深水井控压井作业可靠性,采用 BN-CREAM方法对其风险诱因进行研究。结合深水井控压井作业特点,考虑共因失效等因素,采用贝叶斯网络方法建立深 水井控压井作业风险演化模型。应用人因可靠性分析CREAM法计算深水压井人因失误先验概率,参考海洋可靠性数据手 册OREDA确定深水井控设备失效先验概率。依托贝叶斯网络的逆向推理能力辨识压井作业的主要风险节点,从而实现对 深水井控压井作业风险诱因的有效预测和评估。研究表明:深水井控压井作业共包含6个关键风险根节点,且压井作业人 因可靠性要低于设备可靠性;3级子节点“压井方法选择不合理”对深水压井作业的成功起到至关重要的作用,需进一 步开展风险分析研究。     

基于马尔可夫的地面控制井下安全阀可靠性评估

为保障地面控制井下安全阀系统的安全运行，防止系统发生故障，建立了井下安全阀可修复系统的马尔可夫模型；针对系统设备构成复杂及共因故障等问题，基于β因子模型描述共因失效，同时将模型划分为3个独立模块，通过克罗内克积方法合并，评估系统可靠性；参照OREDA可靠性数据，定量求解井下安全阀系统可用度、可靠度以及稳态指标，研究模型中状态转移概率对系统稳态可用度的影响。研究结果表明:井下安全阀系统的可用度随时间增长而迅速到达稳态值；系统检修周期应小于2.5 a；根据可靠性分析结果，运营方应考虑系统经济与可靠性间的博弈关系，合理优化系统冗余结构与维修周期管理，防止井下安全阀系统失效。     

核电站重要敏感性设备分析

核电站重要敏感性设备管理是国内首次采用归纳法和演绎法对核电站重要敏感系统和设备进行识别和设备分级的一种新方法。目标是为了找到导致反应堆紧急停堆、强迫停机和非计划跳机跳堆风险的主要部件 ,并采用 80 - 2 0的原理进行有效的管理 ,建立有效的风险管理 (预防、探测、改正行动 PDC ,Prevention/Detec tion/Correction)大纲和PDC管理数据库 ,并对大部分的重要敏感设备的子部件进行的FMEA(FailureModeandEffectAnalysis)分析 ,识别其失效机理 ,从而确定重要敏感设备清单和预防跳机跳堆的改正行动 ,减少未来由于设备失效导致的跳堆次数 ,达到提高核电站的设备可靠性、安全性和经济性的目的。     

荷载重分布对退化钢筋混凝土桥可靠性的影响

为了能依据体系可靠度的概念对桥梁进行优化设计 ,找到体系可靠度与失效构件数目及失效顺序的关系 ,笔者以某钢筋混凝土简支梁桥为例 ,将 5片T梁看作一个主梁体系 ,针对几种不同的主梁体系失效模式 ,采用“修正刚性横梁法”计算了当主梁体系中有一片或两片梁失效后剩余各主梁的荷载横向分布系数 ,讨论了荷载重分布对单片主梁和主梁体系可靠性的影响。结果表明 :失效梁离剩余梁越近 ,失效梁越多 ,剩余梁可靠性越低 ,而随着荷载重分布程度的加深 ,体系可靠度有所增加。     

基于BDD考虑共因失效的接触网系统可靠性分析

为分析共因失效对高速铁路接触网系统的影响，将二元决策图(Binary Decision Diagram，BDD)与共因失效理论引入到接触网系统可靠性分析中。利用逻辑相邻优先组合法(Logic Neighbor Priority Connect，LNPC)将高速铁路接触网系统的故障树模型转化为BDD模型并求取其可靠度表达式，利用隐式方法对考虑了共因失效的接触网系统可靠度进行计算，利用MATLAB绘制考虑共因失效和不考虑共因失效情况下接触网系统可靠度变化曲线。研究结果表明:提出的分析方法适用于接触网系统的可靠性分析，为接触网系统的可靠性分析提供了一定的理论依据。     

基于动态贝叶斯网络的高速铁路牵引变电所可靠性分析

结合GO-FLOW法的动态特性,将动态贝叶斯理论应用于高速铁路牵引变电所可靠性的分析中。首先将GO-FLOW法中的功能操作符、逻辑操作符、信号发生器、输入信号流等转换为相应的动态贝叶斯网络模块,并建立其条件概率表;然后根据牵引变电所主接线GO-FLOW图和主接线系统功能逻辑关系进行连接,得到基于GO-FLOW图的牵引变电所主接线的动态贝叶斯网络模型;最后运用动态贝叶斯算法对模型求解,得到了牵引变电所主接线的可靠性参数和可靠性变化曲线,结果表明当考虑部件随时间推移而失效的情况时更加符合实际。与其他方法相比,该方法考虑了分析对象的动态特征,减少了公式推导过程,简单清晰,便于实际应用。     

Occupational risk assessment in the construction industry in Iran

Occupational accidents in the construction industry are more common compared with other fields and these accidents are more severe compared with the global average in developing countries, especially in Iran. Studies which lead to the source of these accidents and suggest solutions for them are therefore valuable. In this study a combination of the failure mode and effects analysis method and fuzzy theory is used as a semi-qualitative–quantitative method for analyzing risks and failure modes. The main causes of occupational accidents in this field were identified and analyzed based on three factors; severity, detection and occurrence. Based on whether the risks are high or low priority, modifying actions were suggested to reduce the occupational risks. Finally, the results showed that high priority risks had a 40% decrease due to these actions.     

FMEA在乙烯罐区风险分析中的应用研究

详细介绍国际上先进的风险管理方法故障类型和影响分析(FMEA)的评价理论和分析方法。为了能够在系统使用阶段进行故障类型和影响分析(FMEA),并缩减其工作量,对故障源分析过程进行改进,并对乙烯罐区进行FMEA风险评价。对乙烯罐区安全操作中的各种不期望发生事件,潜在的故障类型、故障因素、后果严重度、发生概率及风险等级进行逐个分析,并根据评价结果制定相应的风险削减措施。研究表明,FMEA不仅能保证系统运行过程的可靠性,而且通过研究导致不期望发生事件(事故)的故障源(故障类型),从源头消除故障隐患。     

弱层台阶边坡可靠度非侵入式随机分析*

为确保复杂结构边坡的安全稳定,针对弱层台阶边坡可靠性开展非侵入式随机分析。以抗剪参数为随机变量,采用局部平均法进行随机场离散,采用随机场和Monte Carlo(SMC)法编制程序进行数值计算,并与Monte Carlo(MC)法结果进行比较。结果表明:利用非侵入式随机分析方法计算可靠度效率更高且易于实现;随机场可以反映岩体力学参数的空间变异性以及参数之间相关特性,更接近于实际情况,弱层对边坡稳定性有重要影响,会导致边坡安全系数降低,且最大位移会显著增大;采用MC法会过度放大边坡的失效概率,而SMC法得到的结果更可靠。该结论可为复杂结构边坡的可靠性分析提供参考。     

油气集输站场失效可能性定量评价方法研究*

为了保证油气集输站场的安全生产和运行,基于标准《Risk-based Inspection Methodology》（API RP 581 2016）和可靠性分析方法GO法,提出1种可完全定量的站场失效可能性评价方法,为站场的全定量风险评价方法提供依据和参考。首先,分析站场内各设备的失效机理,计算其失效概率;然后,根据站场工艺特点,将其划分为若干个子系统,利用GO操作符的定量计算公式,确定各子系统及站场整体的失效可能性值;最后,以某油田联合处理站为实例,采用该方法对其工艺设备、站场子系统及站场整体的失效概率进行计算和分析,确定该站场的失效可能性等级。研究结果表明:通过失效可能性定量评价可使站场风险评价更加量化直观,为站场维护及安全生产运行工作提供更加客观的依据。     

基于Isograph的地铁车载ATP系统动态故障树分析

针对传统的可靠性分析方法在具有动态特性的地铁车载ATP系统可靠性分析中的不足,提出动态故障树分析法。在引用可用度、平均失效时间和平均修复时间等可靠性指标的基础上,结合Isograph软件改进动态故障树分析法,建立基于Isograph的动态故障树分析模型,并通过对车载ATP系统的结构与功能分析以及历史故障数据的统计分析确定车载ATP系统的关键部件,使用 Isograph软件预计关键部件的可靠性参数,对地铁车载ATP系统的可靠性进行评估。结果表明:采用该方法求解的系统可靠性指标均满足系统需求,并且精确度较高,运用此方法能够对具有顺序相关、资源共享、可修复以及冷、热备份等特性的系统进行可靠性建模,达到快速以及准确分析动态特性系统可靠性的目的。     

System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment

In quantitative fault tree analysis of a system, exact failure probability values of components are utilized to calculate the failure probability of the system. However, in many real world problems, it is problematic to get precise and sufficient failure data of system components due to insufficient or imprecise information about components, changing environment or new components. A methodology has already been developed by employing fuzzy set theory for the system reliability evaluation by utilizing qualitative failure data of system components when quantitative failure data of components are inaccessible or insufficient. This paper extends the concept of fuzzy set to intuitionistic fuzzy set and proposes a novel approach to evaluate system failure probability using intuitionistic fuzzy fault tree analysis with qualitative failure data of system components. The qualitative failure data such as expert opinions are collected as linguistic terms. These linguistic terms are then quantified by triangular intuitionistic fuzzy numbers in form of membership function and non-membership function. Additionally, a method is developed for combining the different opinions of experts. To illustrate the applicability of proposed approach, a case study of the crude oil tank fire and explosion accident is performed. The obtained results are very close to the results from pre-existing approaches which confirm that the proposed approach is a more realistic alternative for the study of system reliability in intuitionistic fuzzy environment when quantitative failure data of system components are not known. To help decision makers for improving the security execution of the crude oil tank system, importance measures including Fussell-Vesely importance and cut sets importance are also executed.