...
首页> 外文期刊>Neural computing & applications >Designing of an effective structure of system for the maintenance of a technical object with the using information from an artificial neural network
【24h】

Designing of an effective structure of system for the maintenance of a technical object with the using information from an artificial neural network

机译:利用来自人工神经网络的信息,设计用于维护技术对象的系统的有效结构

获取原文
获取原文并翻译 | 示例

摘要

The present article covers a description of the structures of maintenance systems with a diagnostic artificial neural network as well as a description of those systems that are without a neural network (organized in a classical manner). Such a maintenance system that is organized on the basis of information from an artificial neural network is a rational system. In this system, maintenance costs are significantly reduced (a reduced time required for regeneration and reduced expenditures on preventative activities). Also, theoretical basis is presented of the modelling of the structure of the maintenance system of objects in the form of the following models: mathematical (analytical), graphical and descriptive. For the purpose of the research being conducted, the methodology was developed of a synthesis of the structure of the maintenance system of technical objects (continuous operation), that is such technical objects that require short shutdown times (aircrafts, radiolocation systems, power engineering equipment, etc.).
机译:本文介绍了带有诊断人工神经网络的维护系统的结构,以及没有神经网络(以传统方式组织)的那些系统的描述。这种基于来自人工神经网络的信息进行组织的维护系统是一种合理的系统。在该系统中,维护成本显着降低(减少了再生所需的时间,并减少了预防活动的支出)。此外,以以下模型的形式为对象维护系统的结构建模提供了理论基础:数学(分析),图形和描述性模型。为了进行研究,开发了综合技术对象维护系统(连续运行)的结构的方法,即需要短停机时间的此类技术对象(飞机,无线电定位系统,动力工程设备)等)。

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