非致冷微测辐射热计阵列热像仪测温研究

根据热辐射理论与非致冷微测辐射热计阵列热像仪的成像原理,从理论上推导了其测温计算公式,研究了非致冷微测辐射热计阵列热像仪的测温标定方法,进行了测温实验,结果表明所提出公式的正确性及方法的可行性．     

非致冷微测辐射热计阵列热像仪测温研究

根据热辐射理论与非致冷微测辐射热计阵列热像仪的成像原理,从理论上推导了其测温计算公式,研究了非致冷微测辐射热计阵列热像仪的测温标定方法,进行了测温实验,结果表明所提出公式的正确性及方法的可行性．     

微测辐射热计阵列结构的制备

为了研究和优化二氧化钒(VO2)微测辐射热计的制备工艺,采用微电子机械系统(MEMS)体硅工艺制备了VO2微测辐射热计,经过研究和改进制备工艺,制得的微测辐射热计结构稳定,成品率高;经测试及计算,其响应率可达34.3 kV/W,探测率为1.2×10~8 cm·Hz~(1/2)/W,响应时间约为65.3 ms.此器件性能达到国内外同类器件水平.     

非致冷红外焦平面使用的CMOS读出电路噪声分析

从微测辐射热计的红外辐射响应特性入手．分析其焦平面阵列的CMOS读出电路工作原理,指出读出电路的主要性能指标要求,讨论影响性能的重要因素噪声的特点,为微测辐射热计焦平面阵列CMOS读出电路的设计遵定必要的理论基础。     

320＊240凝视型非致冷红外热像仪研究

提出了基于微测热辐射计的３２０＊２４０凝晨致冷红外热像仪的系统设计方法,指出了设计３２０＊２４０凝视型非致冷红外热像仪的关键,为研制出国内第一台３２０＊２４０凝视型非致冷红外热像仪打出了基础。     

320×240凝视型非致冷红外热像仪研究

提出了基于微测热辐射计的320×240凝视型非致冷红外热像仪的系统设计方法,指出了设计320×240凝视型非致冷红外热像仪的关键,为研制出国内第一台320×240凝视型非致冷红外热像仪打下了基础.     

非致冷微测辐射热计红外测温系统及实现

论述先进微测辐射热计红外测温系统的组成,该系统具有体积小,测温精度高,作用距离远,操作简便,工作时间长等特点,特别适用于设备的红外故障检测,对其性能进行了测试并对其测温结果进行了分析。     

非致冷微测辐射热计红外测温系统及实现

论述先进微测辐射热计红外测温系统的组成，该系统具有体积小、测温精度高、作用距离远、操作简便、工作时间长等特点，特别适应于设备的红外故障检测，对其性能进行了测试并对其测温结果进行了分析.     

带衬底温度补偿的微测辐射热计读出电路

非致冷微测辐射热计具有较大不均匀性,并且输出响应受衬底温度影响很大.提出的读出电路在读出信号的同时能够扩大探测阵列的允许衬底温度.电路采用多列像素共享容式跨阻放大器(CTIA)和DAC,用补偿暗像元扣除静态电流,校正数据经DAC转换送至MOS管的栅极以控制偏置电流达到温度补偿目的.该电路灵敏度高、动态范围大,对于128×128面阵可以达到30Hz以上的帧频,通过PSPICE仿真验证了该读出电路的可行性.     

基于DSP的实时红外图像处理系统

以TI公司的高性能数字信号处理器TMS320C6201为核心器件,设计了实时非致冷红外图像处理系统.阐述了一种基于Curvelet 变换的红外图像增强算法和Curvelet 变换应用于红外图像增强的过程,研究了Curvelet 系数的调整方法.该系统在DSP上实现了红外图像增强算法及基于两点法的红外图像非均匀校正,用USB2.0接口芯片与主机通信,实时性好,工作稳定可靠.     

装备维修性时间指标验证方法分析

比较了基于经典数理统计学理论的维修性定量时间指标的验证方法和基于Bayes理论的小子样维修性定量时间指标验证方法。讨论了维修性验证技术的发展趋势。     

基于多因子融合的维修性验证试验故障样本分配方法研究

针对维修性验证试验中样本分配结果不理想,导致维修性验证试验结论置信度低的问题,提出了基于多因子融合的维修性验证试验样本分配方法;首先,通过对故障样本分配影响因素的分析,定义了故障样本分配影响因子集,提出了基于多因子融合的故障样本分配算法;然后,分别确定了各影响因子的影响系数,并采用模糊层次分析法获得了各影响因子的影响权值;最后,以某型装备子系统为例进行实例验证,并同基于故障率的分层抽样样本分配方法进行对比分析,结果表明该方法得到的样本分配结果结构更加科学,提高了试验结论的置信度,具有良好的工程应用价值。     

基于QFD的工程机械维修性设计要求分析

 维修性设计是工程机械研究阶段必须开展的一项重要工程活动,而维修性设计要求的提出与确定又是后续各项维修性工作的前提与基础。简要介绍了质量功能展开(QFD)方法,重点论述了质量屋(HoQ)的基本构成;探讨了基于QFD的工程机械维修性设计要求分析过程,主要包括提出客户维修需求、确定维修需求权重、提出维修性设计指标、构造设计指标关系矩阵、构造设计指标——维修需求关系矩阵和得出维修性设计指标权重矩阵6个步骤。最后,通过运用该方法对某型推土机维修性设计要求进行了分析,得出了其维修性设计指标重要度排序依次为拆装性、模块化、标准化、简易化、可达性和易识别性。结果表明,引入QFD方法对工程机械维修性设计要求进行分析,在分析过程中将定性分析与定量研究有机结合起来,能够解决工程机械维修性设计要求分析过程中的复杂性与不确定性问题,并得出对维修性设计要求的有效评价,具有很高的实用价值。     

基于故障树的无人机发动机点火系统维修性建模

结合无人机发动机点火系统的特点,以故障树为基础,建立了无人机发动机点火系统基于故障树的维修性模型,对其进行定量分析得到点火系统的修复性维修时间.该方法利用可靠性分析的故障树理论,提供了维修过程的基本思想和数据,解决了定量分析维修性数据不足的困难,提高了系统维修效率.     

Software Maintainability Evaluation Based on Quantitive Model

Software maintainability is one of the most important factors of software quality,but it is seriously difficult to evaluate the maintainability. Without evaluation,it is impossible to control. To estimate software maintainability state,parameter system of software was built up and maintainability state was defined into three states.Thought of application on maintainability evaluation based on hidden Markov chain( HMC) and fuzzy inference was presented.Three-state maintainability estimation model was constructed. To testify the feasibility of the model, a real example of software maintenance activity was carried out and the result from the example validated that the results of this study were applicable.     

Softw are Maintainability Evaluation Based on Software Configuration Management Data

As one of the most important attributes of software quality, software maintainability has been widely recognized.However,the existing maintainability evaluation methods are mostly based on subjectively judgment. Thus it is inapplicable or unbelievable. To evaluate software maintainability objectively,the software configuration management( SCM) data are collected to establish a maintainability model. Based on the hidden Markov chain( HMC), a three-state maintainability estimation model is constructed. To validate the feasibility of the model,a real software example of software maintenance activity is given and the result from the example shows the effectiveness of the proposed method.     

基于灰色关联的无人值守变电站维修性评估

分析了模糊评估模型的构建原理,应用模糊映射和灰色关联理论构建了模糊综合评估理论模型,提出了无人值守变电站维修性评估灰色关联度建模和计算方法,给出了220kV无人值守变电站维修性评估实例.结果表明,采用二级分层模型,可以显著降低多因素评估的计算复杂性,高效地实现目标评估.     

Software Maintainability Prediction with UML Class Diagram

Software system can be classified into many function modules from the perspective of user. Unified modeling language( UML) class diagram of each function module was extracted,and design characteristic metrics which influenced software maintainability were selected based on UML class diagram.Choosing metrics of UML class diagram as predictors,and mean maintenance time of function module was regarded as software maintainability parameter. Software maintainability models were built by using back propagation( BP) neural network and radial basis function( RBF) neural network, respectively and were simulated by MATLAB. In order to evaluate the performance of models,the training results were analyzed and compared with leaveone-out cross-validation and model performance evaluation criterion. The result indicated that RBF arithmetic was superior to BP arithmetic in predicting software maintainability.     

基于MVC的手机通讯录设计与实现

MVC模式的设计思想为J2ME平台的手机程序开发提供了有力的支持,具有健壮性、可维护性和可扩展性等优点.讨论了MVC模式在手机通讯录开发中的应用,并说明该模式的优点.     

Electric Multiple Unit Bogie Maintainability Allocation with Interval Analysis and Fuzzy Evaluation Method

Based on the failure rate and design features allocation method,considering the multiple influential factors which affect electric multiple unit（ EMU） bogies,maintainability allocation on EMU bogie was presented by interval analytic hierarchy analysis and fuzzy comprehensive assessment. The maintainability allocation model was established. Weight based on the influence degree of each factor on maintenance was assigned. Fuzzy interval numbers were used to substitute real numbers and express uncertain information.The maintenance weighting factors for each subsystem were calculated by fuzzy comprehensive assessment. Then the allocation method was applied to EMU bogie. The results show that the method is feasible. The problem difficult to quantify for EMU bogie maintenance allocation is solved effectively.