多个变电站的操作票专家系统研究

介绍了面向对象的多变电站操作票专家系统。基于面向对象的分析和设计技术，设计了适合调度操作的网络拓扑、知识库和推理机制。采用Bodand C＋＋Builder作为开发工具，并以其自带的Paradox数据库作为后台建立系统数据库。开发了实用的操作票专家系统，具有方便、可靠、高效等优点。     

科研管理信息系统的研究

阐述当前科研管理的主要开发方向，指出了亚工作流和特色数据库的开发方法，并详细地分析了系统的设计和实现。     

A new parameter identification methodology for a modal analysis test of a rail vehicle

The validation of vehicle mathematical models is a key part of the virtual acceptance process since it is essential to ensure a precise representation of the reality. The model validation procedure should include validation of stationary but also dynamic tests. However, parameter identification from on-track tests is a challenging task due to the non-controlled excitation and the great variability of the test results. Thus, an alternative solution by means of a vehicle modal analysis is proposed, developing a parameter identification methodology for dynamic vehicle model parameters. This methodology calculates estimated values of the vehicle model parameters that have an influence on the excited vehicle vibration modes. Moreover, a new criterion for taking into account the effect of the measurement uncertainties on the selection process of the vehicle parameters is developed. Finally, experimental results show that not only estimations of the suspension stiffness parameters can be obtained, but damping values and structural frequencies from the vehicle bodies can also be estimated.     

Black-box modelling of nonlinear railway vehicle dynamics for track geometry assessment using neural networks

ABSTRACT

The use of vehicle dynamics simulation for the track geometry assessment gives rise to new demands. In order to analyse the responses of the vehicles to the measured track geometry defects, the integration of the simulation process in the measurement chain of the track geometry recording car is envisaged. Fast and reliable simulation results are required. This work studies the use of black-box modelling approaches as an alternative to multi-body simulation. The performances of different linear and nonlinear black-box models for the simulation of the vertical and lateral bogie accelerations are compared. While linear transfer function models give good results for the simulation of the vertical responses, their use is not suitable for the highly nonlinear lateral vehicle dynamics. The lateral accelerations are best represented by recurrent neural networks. For the training and validation on high-speed lines using measured vehicle responses, the performance of the black-box simulation outperforms the multi-body simulation. Due to the larger variability of track design and track quality conditions on conventional lines, the model performance degrades and depends significantly on the analysed vehicle type and the track characteristics.     

IMO光盘版出版物的使用

计算机技术的发展促进了信息技术的进步,表现在出版行业即出版物形式的改变,从过去纸面印刷较单一的形式发展为软盘、光盘乃至互联网等多种形式。目前IMO出版物的较新形式为光盘形式,本文对这种形式出版物的使用进行简单介绍,希望能对我国航运界尽快有效地使用这种形式的出版物起到一定作用。     

水声对抗仿真及其海洋环境平台综述

简要介绍了国内外水声对抗及其仿真的状况,提出建立充实、正确、快速的涵盖动态海洋环境数据库及其经验模型和以水下声传播为基础的海洋声传播、混响及噪声模型两大方面的海洋环境平台,是水声对抗仿真的坚实基石。     

船用柴油机综合保障系统研究

分析了船用柴油机综合保障概念和策略的发展及与柴油机维修性的关系,重点介绍了保障系统中维修计划管理;讨论了计算机辅助船用柴油机综合保障信息系统设计开发过程和系统主要功能模块,开发的原型系统可为进一步的实用系统研制提供参考.     

基于分层信息数据库的智能车仿真环境感知方法研究

针对目前智能汽车仿真中应用最广的环境感知方法(建立数据库,动态更新提取信息)的不足,提出了一种分类、分层的数据结构定义与存储方法,使数据库不但能描述复杂的道路情况,而且修改容易;在此基础上,将碰撞检测算法引入信息动态提取过程中,实现分层的感知信息提取。在驾驶模拟器上进行的车道标线、交通标志感知试验的结果表明,本文中提出的方法能实时对环境信息进行全面可靠的检测,并给出真实传感器的检测误差。     

基于移动对象数据库的导航信息更新机制设计

移动对象追踪和更新技术,是影响移动对象数据库性能的重要因素。本文提出了一种基于移动向量和船舶导航信息的移动对象信息更新机制。这种方法通过对船舶航线的建模,设计了自动化的移动对象信息更新算法。通过仿真和实验,证明了本文提出的方法与传统的真实航线信息更新方法相比,具有更好的性能表现,能够在较低的系统开销下,实现较高的精确度。     

INtools软件及其在项目中的实际应用

简要介绍了INtools软件的组成和主要功能，重点阐述了INtools软件在企业中的应用策略以及实际项目应用中出现的问题和解决方法。