层次分析法在飞机维修不安全事件影响因素评价中的应用

对飞机维修不安全事件的影响因素进行层次分解,构建层次矩阵;利用德尔菲法,导入不安全事件调查分析专家组成员对不安全事件的判断;结合层次分析法(AHP)对不安全事件影响因素进行定性和定量的评价。     

面向空中目标威胁评估的多传感器管理方法

为了降低在空中目标威胁评估任务中由于威胁评估结果的不准确性和传感器辐射所带来的潜在损失，提出了一种基于风险的多传感器管理方法。首先，基于部分可观马尔可夫决策过程建立了传感器管理模型；然后，给出了基于信息状态的威胁评估风险和传感器辐射风险的预测方法以量化潜在损失；接着，为获得更优的作战收益，以多步风险预测值为决策依据，以两种风险的加权和最小为优化目标建立了长期目标函数；最后，在求解目标函数时，将传感器管理问题转化为决策树搜索，设计了一种基于分支定界的标准代价搜索算法以快速获得高质量的管理方案。仿真实验表明，所提算法能够在搜索到高质量解的同时大幅减少计算时间和内存消耗；所提方法能够对风险进行准确预测，且相比于经典的传感器管理方法，所提方法具有更好的风险控制效果。     

一个实用的WIN95启动界面

本文通过用简单的方法修改ＭＳＤＯＳ．ＳＹＳ和重新配置ＡＵＴＯＥＸＥＣ．ＢＡＴ文件。     

焊接过程电信号在线监测研究现状及发展趋势

详细介绍了各种在线监测和分析方法在焊接过程电信号监测以及焊接质量评估中的应用，分析每一种在线监测方法的特点和焊接质量方面的应用现状。对各种在线监测方法在焊接质量监测中应用的发展趋势进行了分析和预测。     

Gray bootstrap method for estimating frequency-varying random vibration signals with small samples

During environment testing, the estimation of random vibration signals （RVS） is an important technique for the airborne platform safety and reliability. However, the available meth- ods including extreme value envelope method （EVEM）, statistical tolerances method （STM） and improved statistical tolerance method （ISTM） require large samples and typical probability distri- bution. Moreover, the frequency-varying characteristic of RVS is usually not taken into account. Gray bootstrap method （GBM） is proposed to solve the problem of estimating frequency-varying RVS with small samples. Firstly, the estimated indexes are obtained including the estimated inter- val, the estimated uncertainty, the estimated value, the estimated error and estimated reliability. In addition, GBM is applied to estimating the single flight testing of certain aircraft. At last, in order to evaluate the estimated performance, GBM is compared with bootstrap method （BM） and gray method （GM） in testing analysis. The result shows that GBM has superiority for estimating dynamic signals with small samples and estimated reliability is proved to be 100% at the given confidence level.     

Transient simulation of regression rate on thrust regulation process in hybrid rocket motor

The main goal of this paper is to study the characteristics of regression rate of solid grain during thrust regulation process. For this purpose, an unsteady numerical model of regression rate is established. Gas–solid coupling is considered between the solid grain surface and combustion gas.Dynamic mesh is used to simulate the regression process of the solid fuel surface. Based on this model, numerical simulations on a H2O2/HTPB(hydroxyl-terminated polybutadiene) hybrid motor have been performed in the flow control process. The simulation results show that under the step change of the oxidizer mass flow rate condition, the regression rate cannot reach a stable value instantly because the flow field requires a short time period to adjust. The regression rate increases with the linear gain of oxidizer mass flow rate, and has a higher slope than the relative inlet function of oxidizer flow rate. A shorter regulation time can cause a higher regression rate during regulation process. The results also show that transient calculation can better simulate the instantaneous regression rate in the operation process.     

S形蒙皮零件成形工艺

通过运用S3F软件对S形蒙皮拉形过程进行模拟仿真分析,评估S蒙皮拉形工艺性;预测拉形过程中将产生的缺陷;制定合理工艺方案;优化零件设计和模具结构;实现了该蒙皮零件在数控蒙皮拉伸机上的拉形。     

CCD信号采样位置选取方法的研究

针对CCD输出信号中的复位噪声,文章介绍了处理复位噪声较为常用的方法--相关双采样技术,并对相关双采样技术中采样位置选取的方法进行分析和研究,最后进行了实验验证.结果表明:用文中方法选取的采样位置进行相关双采样,可以较好的减小CCD输出信号中复位噪声的影响,提高信噪比.     

面向飞机维修过程的数字支援系统研究

在研究欧盟的民用飞机维修方式研究计划(TATEM)的基础上,分析飞机维修过程的主要因素并建立了飞机维修过程的数学模型。通过模糊数学知识实现对数字支援系统拟采用的技术手段对飞机维修工程促进作用的评价,详细设计了数字支援系统的主要功能模块,并用于指导系统软件的开发。面向飞机维修过程的数字支援系统的研究与开发对于其他复杂设备的维修过程数字化建设有着重要的借鉴意义。     

Training effectiveness evaluation of helicopter emergency relief based on virtual simulation

Helicopters are playing an increasingly important part in emergency relief, such as earthquake rescue, firefighting and medical transport. With the development of virtual simulation technology, virtual simulation-based training is widely used in the training of the helicopter crew especially for the dangerous and costly missions mentioned above. A complete training effectiveness evaluation method is proposed to evaluate the trainees’ training effect based on virtual simulation in this paper. A key to this method is regarding the complicated process as a discrete event-activity flow system and establishing the evaluation indicator system. Then expert group and Analytical Network Process (ANP) are applied to determine the weight of indicators. When the training data are processed, there is a novel attempt to apply Fuzzy Comprehensive Evaluation (FCE) model to calculate the two categories of indicators. Eventually, an experiment and the analysis were carried out to validate the evaluation method.