基于无线网络的电桩故障远程自动诊断研究

以实现电桩故障远程自动诊断为目的,提出基于无线网络的电桩故障远程自动诊断方法。利用数据采集箱采集充电桩运行状态数据,通过通信传输协议将数据传送至服务层并存储,采用深度神经网络模型对自动识别各种故障,采用T-S模糊故障诊断分析方法对故障重要程度进行排序,排查各故障原因并保存排查结果,通过无线网络将诊断结果发送至客户端。测试结果表明：该方法准确识别各种故障类型,网络传输平均能量消耗低于目标需求结果,并且可获取各个基础故障对于顶级事件的T-S关键重要度结果,确定故障排查顺序实现电桩故障远程诊断。     

面向注塑产品工艺缺陷的知识图谱构建方法及应用

针对现有注塑产品缺陷故障原因排查与定位依靠专家人工诊断效率低、成本高昂等不足, 本文提出了一种 面向注塑产品缺陷的知识图谱构建方法及其应用, 目的在于将专家知识采用知识图谱进行表示, 利用基于知识图谱 的垂直检索技术, 解决故障排查和定位困难的问题. 首先, 文章基于多源异构的故障解决方案文本构建语料库, 并构 建知识本体模型. 其次, 采用面向非结构化文本的知识抽取模型, 将产品缺陷的相关专家知识从原始语料中自动抽 取出来. 最后, 利用Neo4j图数据库实现知识存储及可视化知识图谱的构建. 在所构建的知识图谱中, 探索并实现了 知识智能搜索、故障诊断及工艺卡解析等应用, 展示了知识图谱技术在注塑领域的良好应用前景.     

火电厂热控仪表常见的故障类型分析及故障排查方法

为保证火电厂的稳定运行,应定期例行检查热控仪表,降低相应故障的出现率。以往的人为排查方法存在主观因素强,排查结果不准确的问题,为此,本文提出一种快速定位法。首先,利用低压热控仪表的排列矩阵处理热控仪表的运行数据,深入分析热控仪表状态、异常值出现率等特征值,形成仪表数据集合。然后,利用仪表标准、火电厂情况、故障判断等函数对仪表数据不断监测,形成综合性的排查组合。最后,参照《火电厂热控仪表的操作手册》,结合输电的稳定性指标,排查辅助性的排查方法。仿真结果显示,本文提出的快速定位法能提高热控仪表的排查效率和排查结果的合理性,缩短排查时间,显著优于人工在线排查法。因此,快速定位法能满足火电厂热控仪表的快速排查要求。     

基于日志数据的分布式软件系统故障诊断综述

基于日志数据的故障诊断指通过智能化手段分析系统运行时产生的日志数据以自动化地发现系统异常、诊断系统故障.随着智能运维（Artificial Intelligence for IT Operations,AIOps）的快速发展,该技术正成为学术界和工业界的研究热点.本文首先总结了基于日志数据的分布式软件系统故障诊断研究框架,然后就日志处理与特征提取、基于日志数据的异常检测、基于日志数据的故障预测和基于日志数据分析的故障根因诊断等关键技术对近年来国内外相关工作进行了深入地分析,最后以本文提出的研究框架为指导总结相关研究工作,并对未来研究可能面临的挑战进行了展望.     

动态系统的主动故障诊断技术

目前, 绝大多数动态系统的故障诊断方法仅利用系统的输入输出数据, 当数据中包含的故障特征不明显时, 诊断效果不佳. 动态系统的主动故障诊断方法通过向系统注入适当的辅助信号, 增强输入输出数据中特定故障的表现来提高对该故障的诊断能力. 主动故障诊断的研究不仅对于丰富与发展动态系统故障诊断理论具有重要价值, 还对故障诊断技术在实际中的推广应用具有重要意义. 本文阐述了主动故障诊断的思想, 介绍了用于增强故障表现的辅助信号所具有的特征, 分类概述了现有文献中的辅助信号设计方法, 分析了故障表现增强的形式与主动故障诊断技术的实现方式, 探讨了主动故障诊断中亟待解决的问题与未来的发展方向.     

水利泵站电气设备故障自动排查研究

为保障水利泵站的安全稳定运行,提高水利泵站电气设备故障的排查效率和准确性,基于水利泵站的运行结构,对水利泵站电气设备故障自动排查方法进行研究。建立电气设备故障数据库,采用光纤传感算法对数据信息进行筛选处理,建立水利泵站电气设备故障自动排查模型。基于变压器绕组故障,设计了不同程度和不同位置故障试验,采用折线图记录本文设计的故障排查方法与传统故障排查方法的检测结果,与实际故障进行对比,结果显示设计的故障排查方法与实际故障折线图基本贴合,而传统故障排查方法与实际故障折线贴合度非常低,因此设计的故障排查方法能更准确地排查出故障的位置和故障程度,为水利工程长期稳定运行提供了基础保障。     

基于机器学习的城市电梯困人故障原因预测方法研究

为实现电梯困人故障的应急处置快速响应,缩短现场故障原因排查时间,促进排障模式由人工经验向数据支撑下的智能诊断转变,利用梯度提升树算法（GBDT）建立电梯故障原因预测模型。经过数据清洗和特征提取,以2015—2020年南京市累积电梯故障数据进行模型训练。与真实值对比后的预测结果表明,前三位故障原因实时预测准确率可达81%...     

基于支持向量机的数字电路故障诊断研究

为了解决因缺少大量故障数据样本而制约数字电路故障智能诊断发展的问题,提出了一种基于支持向量机的故障诊断仿真模型.由FPGA仿真产生数字电路,由PCI-72001/O卡进行采集.支持向量机建立在VC维理论和结构风险最小原理基础上,根据有限的样本信息在模型的复杂性和学习能力之间寻求最佳折衷.在选取诊断模型输入向量时,对故障信号进行筛选,简化了故障特征向量的提取.仿真结果表明支持向量机可以有效地对数字电路故障进行诊断.     

水下航行体故障诊断策略的设计与实现

为解决水下航行体合段状态下的故障诊断与定位难题,设计并实现了一种基于SQL Server 2005数据库的故障诊断策略;采用多线程监控技术、数据融合技术处理实时数据,提取并隔离故障信息,建立故障模型库、故障知识库和辅助决策支持库完成故障匹配、诊断及定位;经数百次故障排查试验证明,所提出的故障诊断策略具备自主学习和主动预测能力,能够快速、准确完成段、组件级在线故障检测任务。     

基于优化神经网络算法的大数据专家系统的继电保护二次回路故障定位系统(RSFLS)的研究与实现

为解决继电保护二次回路故障排查耗时耗力、考虑因素不全面、受限于人员经验等问题,本文提出基于优化神经网络的大数据专家系统的方法,并搭建继电保护二次回路故障定位系统（RSFLS）。在对继电保护二次回路抽象分类的基础上,建立基于实体-关系模型（E-R模型）的缺陷数据库模型,利用优化神经网络进行随机化和自学习,并融合继电保护人员的经验库,形成基于优化神经网络的专家系统架构,从而匹配定位故障点。该方法有效解决了传统二次回路故障排查方法所存在的准确性不高、随机性较大、时效性较低等问题。基于该方法开发的RSFLS系统已投入实际应用,能有效缩短继电保护二次回路故障排查时间、提高排查准确性。测试结果证明所述方法和系统在提升继电保护系统可靠性方面有显著效果。     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

法律信息库系统

本文分析了法律数据库的结构和特点，介绍了采用面向对象设计方法和超文本数据库技术开发和实现法律信息库系统将作为重要网络资源之一为不同用户进行法律咨询服务。     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

International Journal of Automation and Computing Table of Contents

正~~     

Information for authors

正SCIENCE CHINA Information Sciences(Sci China Inf Sci),cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China,and published by Science China Press,is committed to publishing highquality,original results of both basic and applied research in all areas of information sciences,including computer science and technology;systems science,control science and engineering(published in Issues with odd numbers);information and communication engineering;electronic science and technology(published in Issues with even numbers).Sci China Inf Sci is published monthly in both print and electronic forms.It is indexed by Academic OneFile,Astrophysics Data System(ADS),CSA,Cabells,Current Contents/Engineering,Computing and Technology,DBLP,Digital Mathematics Registry,Earthquake Engineering Abstracts,Engineering Index,Engineered Materials Abstracts,Gale,Google,INSPEC,Journal Citation Reports/Science Edition,Mathematical Reviews,OCLC,ProQuest,SCOPUS,Science Citation Index Expanded,Summon by Serial Solutions,VINITI,Zentralblatt MATH.     

Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal

正Erratum to:J Zhejiang Univ-Sci C(ComputElectron)2014 15(7):551-563doi:10.1631/jzus.C1300320The original version of this article unfortunately contained mistakes.Algorithm 6 should be as follows:Algorithm 6 FGKFCM-F clustering Input:(1)X={x_1,x_2,…,x_N},,x_iR~d,i=1,2,…,N,the dataset;(2)C,1C≤N,the number of clusters;(3)ε0,the stopping criterion;     

Journal of Zhejiang University-SCIENCE C (Computers & Electronics) Total contents

正~~     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.