抑制等信道间距陆上干线光纤通信系统中光纤色散和四波混频效应的新方案

提出了一种用以克服等信道间距划分、波分复用（ＷＤＭ）＋掺饵光纤放大器（ＥＤＦＡ）陆上光纤通信系统中光纤色散和四波混频（ＦＷＭ）效应的新方案。采用１５５０ｎｍ处色散为－２．８９ｐｓ／ｋｍ／ｎｍ的小色散单模光纤（ｓｍａｌｌ－ｄｉｓｐｅｒｓｉｏｎｓｉｎｇｌｅ－ｍｏｄｅ－ｆｉｂｅｒ，ＳＤＳＭＦ）可避免严重的ＦＷＭ效应，同时利用ＩＴＵ－ＴＧ．６５２非色散位移光纤（ｎｏｎ－ｄｉｓｐｅｒｓｉｏｎ－ｓｈｉｆｔｅｄｆｉｂｅｒ，ＮＤＳＦ），在ＥＤＦＡ整个带宽范围内（１５３０～１５７０ｎｍ）补偿ＳＤＳＭＦ引入的负色散。采用此方案，一个１０路×１０Ｇｂ／ｓ、１０级ＥＤＦＡ级联的等信道间距（１ｎｍ）光纤通信系统，经近千公里的光纤传输后，ＦＷＭ和色散引入的恶化量将分别小于１ｄＢ。     

EDFA及其在上海有线电视郊县联网中的应用

本文首先讨论了ＦＭ，数字、ＡＭ－ＶＳＢ三种有线电视光纤传输系统的特点，提出采用ＡＭ－ＶＳＢ１５５０ｎｍ光发射机和ＥＤＦＡ进行中继传输的方式是上海有线电视郊县联网最经济有效的方式。     

广东照相机市场售价参考

海鸥牌照相机：ＤＦ－３００Ｘ机身／１２２８元；ＤＦ－３００ＸＤ机身／１３７４元；ＤＦ－３００Ｍ机身／９１０元；ＤＦ－２ＥＴＭ机身／５５５元；ＤＦ－２机身／３８５元；ＤＦ－３００ＸＤ带标头／１７００元；ＤＦ－３００Ｘ带标头／１５６５元；ＤＦ－３００Ｍ带标头／１２４４元；ＤＦ－２ＥＴＭ带标头／８４１元；ＤＦ－２带标头／６７０元。ＳＣ７２７相机／２２１元；ＳＣ７２７Ｄ相机／３００元）ＳＣ７３７相机／３２０元；ＳＣ７３７Ｄ相机／４００元；ＳＣ７４７相机／３８１元；ＳＣ７４７Ｄ相机／４６１元。４Ａ型相机／…     

基于FDDI网络的空间站内部通信系统

首先介绍了空间站上的业务要求,在此基础上,利用ＦＤＤＩ网络构建空间站内部通信系统,详细分析了系统使用的ＦＤＤＩ,ＭＩＬ－ＳＴＤ－１５５３Ｂ及ＩＥＥＥ８０２。４,最后利用仿真平台构建基于ＦＤＤＩ网络的系统模型并进行仿真分析,得出了结果,为空间站内部通信系统的设计提供了依据。     

MxLa1—xFeO3气敏材料的制备及表征

采用液相化学共沉淀法制备出ＭｘＬａ１－ｘ ＦｅＯ３气敏材料。利用ＸＲＤ、ＳＥＭ、ＴＥＭ、ＩＲ、ＤＴＡＴＧ等分析技术，对材料的物相组成，结构，形貌等方面进行了表征。研究了各种因素对材料导电特性的影响情况。     

分布式智能检测监控系统的设计与开发

以ＢＱ－ＦＭＳ系统为试验对象,研究与开发了基于多Ａｇｅｎｔ的分布式智能检测监控系统－ＤＩＩＭＳ系统。建立了ＤＩＩＭＳ系统模型,并对组成系统的监控Ａｇｅｎｔ的结构及其实现技术、Ａｇｅｎｔ间的协作机制和求解策略以及Ａｇｅｎｔ的融合控制原理进行了描述。     

等温退火Fe73.5Cu1Mo3Si13.5B9合金的纳米晶结构及其与起…

本文用ＸＲＤ和ＴＥＭ研究了Ｆｅ７３．５Ｃｕ１Ｍｏ３Ｓｉ１３．５Ｂ９非晶合金在５２０℃２０－１２０ｍｉｎ退火后形成的纳米晶结构。结果表明，晶化相为局部具有ＤＯ３超结构的α－Ｆｅ（Ｓｉ），尺寸约为１４ｎｍ，α－Ｆｅ（Ｓｉ）晶粒由ＤＯ３有序区和序区组成。随退火时间的延长，α－Ｆｅ（Ｓｉ）的体积分数，Ｓｉ含量及ＤＯ３有序区尺寸增加。在退火时间为６０ｍｉｎ时，残余非晶相处于一特殊结构状态。α－Ｆｅ（Ｓｉ）相     

紫外线辐照HDPE／PA6共混物界面相互作用的研究

采用ＥＳＣＡ、Ｍｏｌａｕ实验、ＳＥＭ、ＤＳＣ、ＤＭＡ、抽滤分析、ＦＴ－ＩＲ和拉抻应力－应弯曲线，研究了紫外线辐照ＨＤＰＥ／ＰＡ６共混物的界面相互作用机理。结果表明，紫外线辐照下，ＨＤＰＥ分子链上引入Ｃ＝Ｏ、ＣＯＯＨ、－ＯＨ、－ＯＯＨ、－Ｃ－Ｏ－等极性基因；在与ＰＡ６熔融共混过程中， 的Ｃ＝Ｏ、ＣＯＯＨ等基团与ＰＡ６分子我寂的酰胺基或端胺基发生化学反应，生成ＨＤＰＥ－ＰＡ６共聚物。共聚物的形成增强了     

红外焦平面阵列用信号处理电路技术探讨

简要介绍了红外焦平面阵列的信号处理电路的发展概况，重点描述ＣＣＤ多路传输器（ＣＣＤ－ＭＵＸ）时间延迟积分ＣＣＤ（ＴＤＩ－ＣＣＤ），ＭＯＳＦＥＴ，ＣＭＯＳ等路传输器（ＣＭＯＳ－ＭＵＸ）等的基本结构，工作方式及应用领域。     

飞机结构件集成化CAPP系统

本文介绍了一个飞机结构件ＣＡＰＰ系统ＦＡ－ＣＡＰＰ，它是运行于成都飞机工业公司ＣＩＭＳ环境的集成化ＣＡＰＰ系统，实现了同ＣＩＭＳ各集成单元的集成。文中介绍了ＦＡ－ＣＡＰＰ的主要功能，重点讨论了ＣＡＤ／ＣＡＰＰ／ＣＡＭ的集成、特征基工艺决策及其专家系统、知识库技术的应用等关键技术问题。     

汽轮发电机组转子裂纹监测与诊断系统开发

给出了汽轮发电机组裂纹诊断方法和诊断系统的组成,用虚拟仪器技术开发了一套裂纹监测分析与故障诊断软件,介绍了专家系统在裂纹故障诊断系统中的应用。     

球磨机减速机振动测试和运行监控系统的研制和应用

介绍了一种基于无线Internet网络和LabVIEW虚拟仪器软件平台的球磨机减速机振动测试和运行监控设备；该设备可以完成对球磨机减速机振动运行状况的数据采集、处理、显示、记录、监控、打印及历史数据分析及故障诊断等功能。该系统已成功对多家水泥厂球磨机减速机运行监测及故障诊断。     

大型风力机组远程智能监测与诊断系统的研究与开发

该文研究了大型风力机组的远程智能监测与诊断系统的关键技术问题,介绍了系统的开发情况。整个系统采用分布式架构,由数据采集与处理、实时数据存储、智能监测与诊断和人机交互4个子系统组成。智能监测与诊断子系统采用了知识库/推理机架构,推理机是一个自主开发的基于模糊Rete算法的模糊专家系统,知识库中存储了来源于风力机故障实验研究的常见振动故障的诊断知识。通过故障仿真,验证了整套系统的有效性。     

旋转机械故障诊断的自学习方法研究

分析并介绍了旋转机械故障诊断的模糊数学与专家系统相结合的诊断方法，提出了一种实用的自学习策略，用这一诊断方法在实验室对一双跨转子进行了两种常见故障的学习及诊断。并将该学习模块装入现场一台５０ＭＷ汽轮发电机组的故障诊断专家系统中，经过多年运行，专家系统知识库得到不断完善。     

振动监测技术在旋转机械故障诊断中的应用

随着旋转设备结构复杂程度的提高,其故障发生的几率也随之增加,对故障检测技术要求更高。通过对机械设备振动信号的分析判断故障特征及部位,是旋转机械故障诊断主要手段。文章首先对振动监测技术的原理及典型振动故障的表现形式进行介绍,并利用振动监测技术,举例说明振动监测技术在旋转机械故障诊断中的应用。     

On-line Condition Monitoring and Diagnostic Network System for Rotating Machine Set

1IntroductionThemachineryinfactoryisalwaysthekeyequipment,soOn-lineConditionMonitoringandDiagnosticSystemCMDS)isveryimportant.Usingthissy000000stem,engineerscanknowtherunningconditionclearlyandanalyzethepossiblefaultswhenthesemachinesetscannotrunnormally.Computerscience,numericsignalprocessing,sensorandnetworktechnologyarethekeytechnologiesofnetworkbaseddistributedon-lineCMDS,anddevelopmentofthesetechnologiesmakeCMDSplayamoreimportantroleinindustry.NetworkstructureandfunctionofCMDSare…     

Diagnosing faults in aluminium processing by using multivariate statistical approaches

Multivariate statistical approaches are expected to detect and diagnose faults effectively for complex materials processing including steel, iron, copper and aluminium processing. This advanced monitoring of materials processing is essential to address abnormal or faulty conditions in a timely manner. In the aluminium-smelting process, late diagnosis of abnormal conditions such as an anode effect can result in an increase of energy consumption and emission of greenhouse gases. In this article, a new statistical framework is proposed that is based on hierarchal diagnostic approach to diagnose two groups of faults, anode faults and non-anode faults. The system diagnoses faults by predicting the type of fault based on continuous, non-linear and multivariate process data using discriminant partial least squares (DPLS). The new system goes beyond the typical multivariate system in that it also includes the dynamic behaviour of the process during anode changing and alumina feeding. The results of performance evaluation of the new diagnosis system tested using real-data show that the system can diagnose the two groups of faults.     

An Embedded Condition Monitoring and Fault Diagnosis System for Rotary Machines

An intelligent machine is the earnest aspiration of people. From the point of view to construct an intelligent machine with self-monitoring and self-diagnosis abilities, the technology for realizing an internet oriented embedded intelligent condition monitoring and fault diagnosis system for the rotating machine with remote monitoring, diagnosis, maintenance and upgrading functions is introduced systematically. Based on the DSP （ Digital Signal Processor） and embedded microcomputer, the system can measure and store the machine work status in real time, such as the rotating speed and vibration, etc. In the system, the DSP chip is used to do the fault signal processing and feature extraction, and the embedded microcomputer with a customized Linux operation system is used to realize the internet oriented remote software upgrading and system maintenance. Embedded fault diagnosis software based on mobile agent technology is also designed in the system, which can interconnect with the remote fault diagnosis center to realize the collaborative diagnosis. The embedded condition monitoring and fault diagnosis technology proposed in this paper will effectively improve the intelligence degree of the fault diagnosis system.     

Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models

Automatic in-process data collection techniques have been widely used in complicated manufacturing processes in recent years. The huge amounts of product measurement data have created great opportunities for process monitoring and diagnosis. Given such product quality measurements, this article examines the diagnosability of the process faults in a multistage manufacturing process using a linear mixed-effects model. Fault diagnosability is defined in a general way that does not depend on specific diagnosis algorithms. The concept of a minimal diagnosable class is proposed to expose the “aliasing” structure among process faults in a partially diagnosable system. The algorithms and procedures needed to obtain the minimal diagnosable class and to evaluate the system-level diagnosability are presented. The methodology, which can be used for any general linear input–output system, is illustrated using a panel assembly process and an engine head machining process.     

柔性制造系统检测监控系统的研究

根据柔性制造系统的实际需要，研制了一个ＦＭＳ运行状态检测监控系统，介绍了该系统的功能与结构，论述了系统与ＦＭＳ的集成方法，讨论了系统的工作流程及对ＦＭＳ故障的处理策略。