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Apparatus and method for failure prediction of radio port using neural network

机译:基于神经网络的无线端口故障预测的装置和方法

摘要

PURPOSE: An apparatus for predicting a fault of a base station using a neural network and a method thereof are provided to supervise in priority the base station before generation of faults after predicting the base station having high chances for generating faults, thereby minimizing the faults of the base station and maximizing operating efficiency. CONSTITUTION: A management data collection unit(10) collects information on hardware, software, performance, faults, ticking issuing particulars of the base station so that the base station predicts possibilities of a fault generation by a neural network. A neural network processing unit(20) predicts possibilities of the fault generation by using standard of classification of performance index, fault index, production of capacity of the base station and management contents of an operator. The neural network processing unit(20) predicts possibilities of the fault generation of the base station on condition of the number of tickets and the time of critical fault movement.
机译:目的:提供一种使用神经网络预测基站故障的装置及其方法,以在预测基站有较高的发生故障的机会之后,在产生故障之前优先监视基站,从而将故障的发生率降至最低。基站并最大化运行效率。构成:管理数据收集单元(10)收集有关基站的硬件,软件,性能,故障,滴答声发行细节的信息,以便基站预测由神经网络产生故障的可能性。神经网络处理单元(20)通过使用性能指标,故障指标,基站容量的产生以及操作员的管理内容的分类标准来预测故障产生的可能性。神经网络处理单元(20)根据票证的数量和关键故障移动的时间来预测基站故障产生的可能性。

著录项

  • 公开/公告号KR100439674B1

    专利类型

  • 公开/公告日2004-07-12

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20010059965

  • 发明设计人 한영근;안성혜;구임수;

    申请日2001-09-27

  • 分类号H04B17/02;

  • 国家 KR

  • 入库时间 2022-08-21 22:46:56

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