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Improvements in the case of the components machines test using a of a neural network processed oscillation data analysis

机译:使用神经网络处理的振荡数据分析对零件机器进行测试的情况有所改善

摘要

A device for the evaluation and diagnosis of a components machine, the part of a larger machine is, wherein the diagnosis and evaluation by an analysis of a neural network of a vibration data signal is done in order to be abnormal signal patterns in the oscillation data identifying the following is provided in combination:first sensing means, which are arranged in order to sense the oscillation data signals, which are generated by the components of machine;second sensing means, the separated from the first said cell can activate means are positioned behind the basis of noise, the oscillation data in the vicinity of the components of machine induced;first neural network processing means, any influence of the sensed background noise during the sensed components machines - oscillation data signals, as normal can be seen; anda processing stage for the evaluation and diagnosis, wherein the processing stage comprises:an interactive section points member with at least of a simultaneous multiple signal display and operator input, and means for receiving the preprocessed components machines - oscillation data signal; anda second neural network with associated diagnosis technology operation systems and supporting databases for the evaluation and processing of provisions, on the basis of the signal patterns in the..
机译:一种用于评估和诊断部件机器的装置,是较大机器的一部分,其中,通过对振动数据信号的神经网络进行分析来进行诊断和评估,以便使振动数据中的信号模式异常。组合地提供以下标识:第一感测装置,其布置为感测由机器的部件产生的振荡数据信号;第二感测装置,与第一所述单元可激活装置分离的装置位于后面噪声的基础上,在机器所感应的组件附近产生振荡数据;第一神经网络处理装置,在感应的组件机器期间所感应的背景噪声的任何影响-正常情况下都能看到振荡数据信号;用于评估和诊断的处理阶段,其中该处理阶段包括:具有至少同时多个信号显示和操作员输入的交互式截面点构件,以及用于接收预处理的组件机器的装置-振荡数据信号;第二个神经网络,具有相关的诊断技术,操作系统和支持数据库,用于根据中的信号模式进行评估和处理规定。

著录项

  • 公开/公告号DE19754918B4

    专利类型

  • 公开/公告日2009-04-09

    原文格式PDF

  • 申请/专利权人

    申请/专利号DE1997154918

  • 发明设计人

    申请日1997-12-10

  • 分类号G01M13/00;G01M15/00;G01M7/02;G06F3/00;G05B13/04;

  • 国家 DE

  • 入库时间 2022-08-21 19:10:05

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