Human error probability estimation by coupling simulator data and deterministic analysis

Operator error in diagnosis and execution of task have significant impact on Nuclear Power Plant (NPP) safety. These human errors are classified as mistakes (rule base and knowledge based errors), slip (skill based) and lapses (skill based). Depending on the time of occurrence, human errors have been categorized as i) Category ‘A’ (Pre-Initiators): actions during routine maintenance and testing wherein errors can cause equipment malfunction ii) Category ‘B’ (Initiators): actions contributing to initiating events or plant transients iii) Category ‘C’ (Post-Initiators): actions involved in operator response to an accident. There have been accidents in NPPs because of human error in an operator's diagnosis and execution of an event. These underline the need to appropriately estimate HEP in risk analysis. There are several methods that are being practiced in Probabilistic Safety Assessment (PSA) studies for quantification of human error probability. However, there is no consensus on a single method that should be used. In this paper a method for estimating HEP is proposed which is based on simulator data for a particular accident scenario. For accident scenarios, the data from real NPP control room is very sparsely available. In the absence of real data, simulator based data can be used. Simulator data is expected to provide a glimpse of probable human behavior in real accident situation even though simulator data is not a substitute for real data. The proposed methodology considers the variation in crew performance time in simulator exercise and in available time from deterministic analysis, and couples them through their respective probability distributions to obtain HEP. The emphasis is on suitability of the methodology rather than particulars of the cited example.     

Simulation based neuro-fuzzy hybrid intelligent PI control approach in four-area load frequency control of interconnected power system

This paper presents a novel control approach of hybrid neuro-fuzzy (HNF) for load frequency control (LFC) of four-area power system. The advantage of this controller is that it can handle the non-linearities, and at the same time it is faster than other existing controllers. The effectiveness of proposed controller in increasing the damping of local and inter area modes of oscillation is demonstrated in four area interconnected power system. Area-1 and area-2 consist of thermal reheat power plant whereas area-3 and area-4 consist of hydro power plant. Performance evaluation is carried out by using fuzzy, ANN, ANFIS and conventional PI and PID control approaches. The performances of the controllers are simulated using MATLAB/Simulink package. The result shows that intelligent HNF controller is having improved dynamic response and at the same time faster than ANN, fuzzy and conventional PI and PID controllers.     

烘干法数显水分测定仪测量结果不确定度分析

烘干法水分测定仪是一种基于烘干原理直接对衡量样品表面分离物或微量水分进行计量分析的仪器。文章依据JJG 658--2010《烘干法水分测定仪国家计量检定规程》中的检定方法,并按照JJF1059-1999《测量不确定度评定与表示》规范,对数字显示水分测定仪的测量结果进行不确定度分析。     

旋进旋涡流量计合成不确定度及其表示方法

随着市场对天然气需求的不断扩大,天然气公司对流量计计量准确度的要求也变得越来越高,但是流量计的测量误差却是无法避免的,而不同的误差可以通过不同的方法来进行控制或减小,其中重要的未定系统误差可以通过不确定度来确定。因此如何正确合理地求出流量计的测量不确定度是十分必要的,本文将以旋进旋涡流量计的测量不确定度的分析过程为基础,指出了在合成标准不确定度以及扩展不确定度的表示中应当值得注意的地方。     

再制造双圆弧齿轮单齿切削机床设计

目前抽油机减速器双圆弧齿轮使用一段时间后会出现单个齿破损或多个齿间隔破损的情况,现有的修复方法效率低。针对这种情况,提出设计一种对修复后的再制造双圆弧齿轮进行再加工的切削机床,验证再制造双圆弧齿轮单齿加工的可行性。结合再制造双圆弧齿轮单齿展成加工理论,对单齿加工机床的刀具运动部件、齿向螺旋进给部件、齿形展成进给部件以及工件运动部件进行设计,最终得到满足加工要求的再制造双圆弧齿轮单齿切削机床。分析再制造双圆弧齿轮单齿加工的误差后,提出一种减小再制造双圆弧齿轮轴向齿距误差的方法。     

Overview of emerging nonvolatile memory technologies

Nonvolatile memory technologies in Si-based electronics date back to the 1990s. Ferroelectric field-effect transistor (FeFET) was one of the most promising devices replacing the conventional Flash memory facing physical scaling limitations at those times. A variant of charge storage memory referred to as Flash memory is widely used in consumer electronic products such as cell phones and music players while NAND Flash-based solid-state disks (SSDs) are increasingly displacing hard disk drives as the primary storage device in laptops, desktops, and even data centers. The integration limit of Flash memories is approaching, and many new types of memory to replace conventional Flash memories have been proposed. Emerging memory technologies promise new memories to store more data at less cost than the expensive-to-build silicon chips used by popular consumer gadgets including digital cameras, cell phones and portable music players. They are being investigated and lead to the future as potential alternatives to existing memories in future computing systems. Emerging nonvolatile memory technologies such as magnetic random-access memory (MRAM), spin-transfer torque random-access memory (STT-RAM), ferroelectric random-access memory (FeRAM), phase-change memory (PCM), and resistive random-access memory (RRAM) combine the speed of static random-access memory (SRAM), the density of dynamic random-access memory (DRAM), and the nonvolatility of Flash memory and so become very attractive as another possibility for future memory hierarchies. Many other new classes of emerging memory technologies such as transparent and plastic, three-dimensional (3-D), and quantum dot memory technologies have also gained tremendous popularity in recent years. Subsequently, not an exaggeration to say that computer memory could soon earn the ultimate commercial validation for commercial scale-up and production the cheap plastic knockoff. Therefore, this review is devoted to the rapidly developing new class of memory technologies and scaling of scientific procedures based on an investigation of recent progress in advanced Flash memory devices.     

CMT电弧增材制造316L不锈钢成形精度与组织性能分析

以冷金属过渡电弧增材制造的方法成形了316L奥氏体不锈钢单道多层薄壁件,分析了不同焊接参数下材料的成形宽度、侧面成形误差、沉积有效率以及显微组织的变化. 结果表明,随着焊接速度的减小,成形试样的宽度逐渐增大;随着热输入的增加,侧面成形误差呈先减小后增大的趋势,沉积有效率呈先增大后减小的趋势,侧面成形误差与沉积有效率的变化相反. 沉积效率越大,侧面成形误差越小,成形有效率可达到90%以上. 成形件显微组织为γ-Fe和δ铁素体,δ铁素体形貌有树枝状和蠕虫状两种. 显微硬度测试结果显示在垂直于沉积方向和平行于沉积方向硬度值变化不大,这与各方向成形材料的显微组织比较均匀有关.     

数控机床的热误差建模与补偿研究

数控机床的热变形误差是影响其加工精度的主要因素。针对当前机床热误差难以解决的问题,提出一种融合模糊聚类理论、灰色关联理论和多元线性回归理论的热误差建模及补偿原理,通过应用于实验室自主研制的AGPM,经机床温度场的测点优化分析、多元线性回归求解,建立了精确的热误差补偿模型。经补偿验证,该原理理论正确、简单易行、稳定可靠,可以大幅减小机床的热变形误差。     

基于可补偿误差项的机床几何误差建模与补偿技术

提出一种可分离数控机床刀具与工件之间可补偿与不可补偿几何误差源的方法;依据可补偿误差项建立误差补偿模型;采用激光干涉仪+直角镜的垂直度直接辨识方法检测出几何误差,导出补偿量计算式,选用西门子840DNC的几何误差补偿模块进行补偿实验,其中8项指标补偿后的几何误差减小比例在16.5%～92%,补偿效果显著。实践证明本文作者所提出的机床可补偿几何误差的建模与补偿方法是有效和可行的,其补偿方法同样可以用于不同类型的机床。     

The semi-rigid behaviour of three-dimensional steel beam-to-column joints subjected to proportional loading. Part I. Experimental evaluation

An experimental investigation of statically loaded extended end-plate connections in both major and minor column axes was undertaken at the University of Navarra, Spain. The aim was to provide insight into the behaviour of these joints when a proportional load is applied to both axes (three-dimensional loading). The rotational stiffness of the joints increases with this type of three-dimensional loading. The findings also show that an increase in the end-plate thickness results in an increase in the connection’s flexural strength and stiffness, and a decrease in its rotation capacity.