基于失效模式与后果分析改进的投标策略风险分析

针对投标策略的风险分析中缺乏有效量化方法的问题,提出了基于模糊集理论和灰色关联理论的改进FMEA(失效模式与效果分析)方法.结合模糊集理论建立评价失效模式的模糊语言术语集和对应的模糊数,并由FMEA小组对各种失效模式做出评价.利用灰色关联理论计算各种失效模式的关联度,通过排序来确定失效模式的风险顺序.投标策略的风险分析案例说明了该研究具有适用性和有效性.     

基于失效模式与后果分析的混合燃料发动机风险分析

针对发动机在使用混合燃料过程中存在的潜在失效模式和故障风险,尝试以改进失效模式与后果分析(FMEA)模型展开风险分析.基于模糊集理论、灰色关联分析和决策试验与评价实验室方法构建改进FMEA模型,将专家定性评价转化为定量指标并进行风险优先值(RPN)、关联度和原因度的计算.将计算结果进行风险排序和比较,由此揭示了使用混合燃料的发动机的风险排序,进而对潜在的失效模式提出风险控制建议.     

智能制造系统可靠性与风险评估模型

针对智能制造系统的可靠性与风险评估问题,提出一种基于改进失效模式与影响分析(FMEA)的智能制造系统可靠性与风险评估模型。从创新运用组合权重、逼近理想解排序法思想和模糊多准则妥协解排序法的角度对传统FMEA模型进行改进;基于逼近理想解排序法思想得到专家权重,减少了专家团队对失效模式风险因子分析过程中的个体差异;使用模糊层次分析法和熵权法分别计算风险因子的主观和客观权重,减少了风险因子确定的主观性。最后,运用围绕中心点划分(PAM)聚类算法对改进模型得到的结果进行分析,并应用于智能制造系统风险评估中,确定了智能制造系统中各失效模式的重要程度,通过比较分析验证了改进模型的有效性。     

基于联合距离评估法的共享电动汽车驾驶风险评估

基于模糊信息和多属性决策,提出一套共享电动汽车（SEVs）失效模式与影响分析（FMEA）方法,包括采用互评法进行专家筛选与赋权,构建风险评估标准,采用共识理论对专家意见进行检验,采用贴近度最优化法对风险因子进行客观赋权,引入联合距离评估（CODAS）法对失效模式的风险水平进行排序等。结果表明,高风险的失效模式主要分布在动力系统和行车系统。灵敏度分析和对比分析验证了结果稳健性和方法有效性。最后,提出了可行性安全管理措施建议。     

基于失效模式与后果分析扩展模型的外包风险分析

失效模式与后果分析(FMEA)是一种重要的质量管理与可靠性分析工具,然而传统模型在实际运用中存在若干缺陷.利用区间二元混合加权距离(ITHWD)测度对传统FMEA模型进行改进,利用区间二元语义FMEA模型,并以刀具管理业务合同履行模块为例进行失效风险分析.通过传统模型与改进模型结果的比较,发现后者不仅能减少评价信息转换过程中产生的信息失真或损失情况,而且还考虑到了风险因子的主客观权重以及决策者的决策态度,从而提高了最终失效模式优先度排序的准确性、可靠性和灵活性.     

多目标模糊决策理论应用于失效模式与效应分析的研究

将失效模式与效应分析（FMEA）的失效风险评价视为多目标决策问题，舍弃传统FMEA用一个效用函数计算失效风险的观念及做法，将模糊理论和多目标决策法结合起来应用于FMEA风险优先级的评估。首先由系统专业人员对FMEA各个失效模式的发生度、难检度及严重度等决策因子给予模糊语意等级评估，并经由运算转换成明确值；再以多目标模糊决策法排列出失效风险的顺序，从而得出解决问题的次序。实例结果表明，本文所提出的方法可行且有效。     

基于云模型与凝聚型层次聚类的失效模式与影响分析方法

针对传统失效模式与影响分析（failure mode and effect analysis，FMEA）的不足，提出了一种基于云模型和凝聚型层次聚类算法的改进FMEA方法。首先，运用云模型对专家评估信息进行描述与集结；然后，结合凝聚型层次聚类算法识别云模型评价信息，利用聚类子簇确定失效模式间关联关系，利用聚类结果确定失效模式风险等级。最后，以在线教学失效风险评估为例，验证了该改进FMEA方法的可行性和有效性。     

FMEA在企业设备改造中的应用

失效模式及影响分析(FMEA)是工业企业进行持续改进的有效方法.本文论述了FMEA的特点及实施步骤;应用实例详细介绍了FMEA在企业生产技术改造方面的应用.     

FMEA在企业设备改造中的应用

失效模式及影响分析(FMEA)是工业企业进行持续改进的有效方法.本文论述了FMEA的特点及实施步骤;应用实例详细介绍了FMEA在企业生产技术改造方面的应用.     

基于"全质量"的计算机辅助FMEA研究

失效模式及影响分析(FMEA)适合分析产品或过程的潜在失效模式、失效原因和相关影响,以便主动采取预防措施防止缺陷(失效)发生。基于质量管理和质量监控相结合的“全质量”系统,研究了先进生产模式下的FMEA应用,提出并建立了以设计预防和过程监控相结合为主旨的计算机辅助FMEA系统,讨论了如何更好地在全质量管理中实施FMEA。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.