基于灰色综合关联理论的电力系统故障诊断方法

为提高电力系统故障诊断的准确性,采用基于灰色综合关联理论的电力系统故障诊断方法,首先建立包括保护、断路器拒动情况下元件-（保护-断路器）分层逻辑关联规则;在识别出故障区域的基础上,将故障信息按逻辑关联规则进行分类,利用灰色综合关联理论对告警信息与标准告警信息进行对比,并运用相似度算法筛选判断结果中的矛盾项,最终得出故障诊断结果,识别出保护和断路器拒动、误动的情况,并将告警信息纠错和复原.     

三维地形可视化技术在铁路电力设计中的应用

三维地形可视化技术一直是地理信息系统、数字摄影测量、虚拟现实等领域的研究热点.铁路电力线路设计过程中,通过三维地形可视化技术,可以使设计人员对地形有较直观的认识,提高贯通线路设计的效率和质量.根据数字高程模型(DEM)数据,利用VC++6.0和OpenGL作为平台,重点讨论建立地形三维可视化系统的关键技术和实现过程.     

基于关联规则挖掘的调车作业事故原因分析

数据挖掘技术在各行各业得到广泛的应用,铁路调车作业的安全是铁路系统中非常重要的方面,将数据挖掘技术中的关联规则挖掘运用到调车作业事故原因分析当中,能够找出事故因素之间的联系,管理部门可根据分析结果,有针对性地进行整改,以提高生产效率和降低调车事故发生率.     

基于铁路客票分析的序列模式挖掘

就数据挖掘中的两种模式:关联规则和序列模式的概念和作用进行了探讨,对序列模式挖掘用程序流程的方式加以说明;并基于铁路客票分析,讨论了实现效果.     

Study on Distributed Motion of Self-Reconfigurable Robot Based on Local Rules

The eigenvector of a module with six adjacent module's state was constructed according to self-reconfigurable robot M-Cubes and the configuration of system was expressed with the eigenvectors of all modules.According to the configuration and motion characteristics of the modules,a 3-dimension motion rule set was provided.The rule sets of each module was run according to eigenvector of the module after the motion direction of system decided and motion rules were selected.At last,the rapid and effective motion and metamorphosis were realized in system.The rule sets are operated on three systems and the distributed motion of system is fully realized.The result of simulation shows that the 3-dimension motion rule sets has perfect applicability and extensibility.The motion steps and communication load of the modules increase with the module number in linear.     

交叉口行人过街心理及交通行为分析

行人与机动车的冲突是影响交叉口运行效率的重要因素。研究交叉口行人过街心理及行为的意义,分析行人过街过程及心理特征,总结行人过街等待时间、穿行速度特征、可接受间隙、违章行为及道路交通环境对行人心理和行为的影响,对行人的违章心理进行论述,并提出减少行人违章的措施。     

Association rule learning to improve deficiency inspection in port state control

ABSTRACT

The inspection of foreign ships in national ports is a critical measure in port state control (PSC), preventing substandard ships from entering national ports. Multifarious inspection items, limited inspection time and inspector manpower are challenging PSC inspection. This research applies data mining to analyze historical PSC inspection records in Taiwan’s major ports to extract potential valuable information for PSC onboard inspections. Using the Apriori Algorithm, the analysis identifies many useful association rules among PSC deficiencies in terms of specific ship characteristics, such as ship types, societies, and flags. The general rules identified show that the items ‘Water/Weathertight conditions’ and ‘Fire safety’ are significantly related. Besides, in the analysis of the various ship types, several different rules are found. After comparing the analysis of ship types and ship societies, it can be observed that the association rules for specific ship types, such as oil tankers, have a better effect than those for individual ship societies do. These identified rules can not only help inspectors effectively spot the associated deficiencies, but also improve the efficiency of PSC inspection. The ports other than Taiwan’s ports can apply a similar analysis method to identify corresponding association rules suitable for their own inspections.     

基于船舶碰撞事故调查报告的人的因素数据挖掘

船舶碰撞事故发生率居高不下与人为失误有关，而人为失误的发生又受到包括个人因素、环境因素、船舶因素以及组织因素的影响。根据一般的事故统计数据能够初步识别出引发碰撞的人为失误行为，但要进一步建立影响因素与人为失误之间的对应关系却一直是令研究人员困惑的事情。一方面是因为缺少数据，另一方面是缺少方法。我们在收集100个碰撞事故调查报告的基础上，利用数据挖掘技术中的关联规则对人为失误与其影响因素之间的关系进行了挖掘，初步确定了船舶避碰过程中人为失误与引发因素之间的对应关系。     

Rough集理论及其在汽车故障诊断中的应用

Ｒｏｕｇｈ集理论是一种处理不确定或模糊的知识的重要工具。文章介绍了Ｒｏｕｇｈ集理论的概念和方法，提出了可以应用于汽车故障诊断领域的一些Ｒｏｕｇｈ集方法，并且用实例说明了Ｒｏｕｇｈ集方法在汽车故障领域中知识发现方面的具体应用。     

新编《北京市轨道交通设施设备编码》规则解析

论述提高轨道交通设施设备资产管理效率的重要性,认为统一编码更有利于规范化、系统化的信息查询和管理.分析新编码规则,说明它在原有编码的基础上借鉴有关的行业编码;对设施设备资产按照一致规则统一编码,为建立信息管理系统、实现不同部门数据分享提供最基本的数据信息.