浅谈转包生产过程中的更改问题

在航空器材转包生产中，经常需要有目的地对工艺指令等进行更改。采用计算机数据库管理对各种工艺信息进行实时更改．可极大地提高转包生产中信息常态化更改的时效性。     

基于工作过程的《制冷技术》课程教学设计

根据高等职业教育新的课程理念,对《制冷技术》课程的教学进行了改革。基于对实际工作过程的分析和思考,设计了学习情境,重构了课程内容,以学生为主体组织实施教学,创新了考核方法,有效地提高了教学效果。     

基于变量贡献率的MSPC异常识别方法

异常识别是多元统计过程控制(MSPC, Multivariate Statistical Process Control)方法有效应用的关键.针对现有研究对历史异常信息利用的不足,综合考虑了主成分变量贡献率与重构误差变量贡献率对异常识别的影响,将两种变量贡献率进行归一化处理并求和得到综合变量贡献率;提出了一种基于综合变量贡献率的MSPC异常识别方法,并基于matlab计算平台实现了该算法.通过田纳西过程故障模式仿真及异常识别,对该方法的应用及算法有效性进行了实例验证.     

An adaptive sequential experiment design method for model validation

Efficient experiment design is of great significance for the validation of simulation model with high nonlinearity and large input space. Excessive validation experiment raises the cost while insufficient test increases the risks of accepting an invalid model. In this paper, an adaptive sequential experiment design method combining global exploration criterion and local exploitation criterion is proposed. The exploration criterion utilizes discrepancy metric to improve the space-filling property...     

不确定非线性主动容错控制系统模糊控制设计

考虑到实际主动容错控制系统中故障以及故障检测与隔离(FDI,Fault Detection and Isolation)决策出现的随机性,随机故障与FDI决策行为分别用两个Markov过程描述,用T-S(Takagi-Sugeno)模糊模型表达不确定非线性主动容错控制系统,并基于并行分布补偿(PDC,Parallel Distributed Compensation)方案,给出了能够保证闭环模糊系统鲁棒随机稳定的模糊控制器设计方法.鲁棒容错模糊控制器的存在条件由一组线性矩阵不等式(LMI,Linear Matrix Inequality)给出,从而方便地利用优化技术求解,随后倒车控制系统的仿真结果验证了所建议方法的有效性.      

离心压气机通流/造型/CFD参数化优化设计集成反问题方法

在自主开发的离心压气机通流/造型反问题设计程序的基础上, 发展了一套离心压气机的通流/造型/CFD于优化设计程序系统下集成的反问题方法, 建立了离心压气机的参数化优化设计平台.采用“试验设计+响应曲面模型+近似优化”的快速优化算法, 对一个10 daN推力级微型涡喷发动机的离心压气机进行了多准则气动优化.结果表明, 这种过程集成的快速优化方法是很有效的.      

搬运机械手的PLC控制

可编程控制器是在继电接触控制的基础上，结合先进的微机技术发展起来的一种新型的工业控制机，它发展迅速，应用广泛，特别适合于顺序控制，是机械自动化中一种基础的控制设备，它将填补继电接触控制与微机数控之间的一大块空白，章以搬运机械手的PLC控制为例，介绍了PLC在机械设备中的应用情况。     

复杂产品集成设计系统构建方法研究

结合工程实践对复杂产品集成设计系统构建方法进行探究,在分析集成设计系统应该解决哪些问题的基础上提出了系统的参考模型,对一种基于数据流的任务模型进行了详细阐述,针对设计知识的积累、管理、重用进行讨论,对企业开展集成设计的工程实践具有一定的借鉴意义。     

IMF Direction Derived from Cycloid-Like Ion Distributions Observed by Mars Express

Although the Mars Express (MEX) does not carry a magnetometer, it is in principle possible to derive the interplanetary magnetic field (IMF) orientation from the three dimensional velocity distribution of pick-up ions measured by the Ion Mass Analyser (IMA) on board MEX because pick-up ions' orbits, in velocity phase space, are expected to gyrate around the IMF when the IMF is relatively uniform on a scale larger than the proton gyroradius. During bow shock outbound crossings, MEX often observed cycloid distributions (two dimensional partial ring distributions in velocity phase space) of protons in a narrow channel of the IMA detector (only one azimuth for many polar angles). We show two such examples. Three different methods are used to derive the IMF orientation from the observed cycloid distributions. One method is intuitive (intuitive method), while the others derive the minimum variance direction of the velocity vectors for the observed ring ions. These velocity vectors are selected either manually (manual method) or automatically using simple filters (automatic method). While the intuitive method and the manual method provide similar IMF orientations by which the observed cycloid distribution is well arranged into a partial circle (representing gyration) and constant parallel velocity, the automatic method failed to arrange the data to the degree of the manual method, yielding about a 30° offset in the estimated IMF direction. The uncertainty of the derived IMF orientation is strongly affected by the instrument resolution. The source population for these ring distributions is most likely newly ionized hydrogen atoms, which are picked up by the solar wind.