首页> 外文期刊>Neural Computing & Applications >Investigation of the operation process of a repairable technical object in an expert servicing system with an artificial neural network
【24h】

Investigation of the operation process of a repairable technical object in an expert servicing system with an artificial neural network

机译:使用人工神经网络的专家服务系统中可修复技术对象的运行过程研究

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a method to investigate the effectiveness of an operation process with a servicing expert system including an artificial neural network. A method of simulation testing with the use of computer technology was described. The theoretical basis was presented of the modelling of an operation process of objects in the form of the following models: mathematical (analytical), graphical and descriptional. For the tests, a model was developed of an organization of a servicing system of those technical objects which require short shutdown times (aircrafts, radiolocation systems, etc.). The requirements were presented and described for simulation tests, which is the development of a test plan, preparation of data to describe the performance of an object, as well as development of models for an operation process of a technical object, which express the investigated aspects of this process. The results of the simulation tests of a repairable technical object were presented.
机译:本文提出了一种使用服务专家系统(包括人工神经网络)研究操作过程有效性的方法。描述了一种使用计算机技术进行模拟测试的方法。以以下模型的形式为对象的操作过程建模提供了理论基础:数学(分析),图形和描述。对于测试,开发了一个模型,该模型由那些需要短时间停机的技术对象(飞机,无线电定位系统等)的维修系统组成。提出并描述了模拟测试的要求,这些要求包括测试计划的开发,描述对象性能的数据准备以及技术对象的操作过程模型的开发,这些都表达了所研究的方面这个过程。介绍了可修复技术对象的模拟测试结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号