刀具刚度对钛合金超薄侧壁加工变形的影响

以控制钛合金超薄结构件的加工变形、获得良好的表面加工质量为目标,基于薄壁零件加工变形理论模型与铣削加工试验,研究分析了刀具刚度对钛合金超薄侧壁结构加工受力变形及表面粗糙度的影响。通过对比分析刚度刀具铣削钛合金超薄侧壁结构时的加工尺寸精度、表面粗糙度以及切削力,发现合理增加刀具刚度可以有效改善超薄壁结构的加工尺寸精度及表面质量。     

基于粒子群核极限学习机的涡扇发动机加速过程模型辨识

针对解析法建立涡扇发动机加速过程模型精度和实时性不高的问题,提出了一种基于粒子群核极值学习机(PSO-KELM)的涡扇发动机加速过程模型数据驱动辨识方法,构建涡扇发动机加速过程模型,结合加速过程试车数据,利用PSO-KELM方法对该加速模型进行辨识。试验结果表明:低压转子转速、高压转子转速和低压涡轮出口燃气总温都较好地逼近了试车数据,最大相对误差均值分别为1.013%,0.355%和1.055%,平均计算时间为0.04ms。精度和实时性均优于反向传播神经网络和粒子群支持向量回归方法,可用于发动机状态监控和性能优化控制。     

三自由度并联机床驱动分支动力学分析

动力学分析对于并联机床的设计有着重要的意义,本文应用有限元软件ANSYS,针对一种三自由度并联机床,建立了并联机床驱动分支的有限元模型,并对其进行了模态分析,分别获得了相应的5阶固有频率及其对应的振型图,其结果可以作为并联机床整机模态分析的重要参考。     

基于Master/Detail构架的航电专用配置工具设计与实现

本文重点讲述如何利用Master/Details结构来实现航电专用配置工具,并介绍了实现该结构所需要的软件和硬件环境,以及Master/Details结构的实现过程。以解析XSD文档生成解析树和配置文件为例,验证了Master/Details结构能够很好得支持航电专用配置工具的实现。     

数控机床校准周期的合理确定

从具体实际出发，充分分析影响机床最终加工精度的诸多因素，应用田口方法科学合理地确定数控机床的最佳校准周期，保障机床加工过程的质量控制。     

航空电子核心处理机实现技术研究

航空电子核心处理机已经成为新一代航电的核心，采用了综合化的设计思想，其设计的复杂性远远超过了联合式核心处理机。提出了一种综合化航空电子核心处理机的硬件实现技术，提出了一种微内核体系结构来实现强分区实时系统，并且支持微内核上操作系统的灵活移植。     

密珠轴系在关节臂测量仪中的应用

在阐述密珠轴系的工作原理的基础上,重点论述了密珠轴系在关节臂测量仪结构设计中的应用;并对密珠轴系进行了结构分析和计算,最后对关节臂测量仪进行实际测试,证明此密珠轴系满足设计要求.     

Integrated Framework for Understanding Relationship Between Human Error and Aviation Safety

Introducing a framework for understanding the relationship between human error and aviation safety from multiple perspectives and using multiple models. The first part of the framework is the perspective of individual operator using the information processing model. The second part is the group perspective with the Crew Resource Management （CRM） model. The third and final is the organization perspective using Reason＇s Swiss cheese model. Each of the perspectives and models has been in existence for a long time, but the integrated framework presented allows a systematic understanding of the complex relationship between human error and aviation safety, along with the numerous factors that cause or influence error. The framework also allows the identification of mitigation measures to systematically reduce human error and improve aviation safety.     

基于上下位机体系结构的飞机组合传动发电机负载管理技术研究

根据组合传动发电机试验的负载特点,总结了组合传动发电机试验负载管理的一般要求,并进行了负载系统设计、负载管理策略研究,最后通过用Labview和西门子S7-200小型PLC组成的上下位机体系结构实现了负载自动化管理并在某组合传动发电机通用试验台上成功应用.     

A satellite schedulability prediction algorithm for EO SPS

With notably few exceptions, the existing satellite mission operations cannot provide the ability of schedulability prediction, including the latest satellite planning service (SPS) standard-Sensor Planning Service Interface Standard 2.0 Earth Observation Satellite Tasking Extension (EO SPS) approved by Open Geospatial Consortium (OGC). The requestor can do nothing but waiting for the results of time consuming batch scheduling. It is often too late to adjust the request when receiving scheduling failures. A supervised learning algorithm based on robust decision tree and bagging support vector machine (Bagging SVM) is proposed to solve the problem above. The Bagging SVM is applied to improve the accuracy of classification and robust decision tree is utilized to reduce the error mean and error variation. The simulations and analysis show that a prediction action can be accomplished in near real-time with high accuracy. This means the decision makers can maximize the probability of successful scheduling through changing request parameters or take action to accommodate the scheduling failures in time.