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Detecting anomaly and algorithm of neural network to monitor hydrocyclone PST

机译:水力旋流器PST的神经网络异常检测与算法

摘要

A system consists of a learning network and a configurable Senior processor: it receives the information it learns, contains representative conditional samples related to the running state of a water truck, and is marked from each When the learning network is trained, unprocessed, unprocessed information about the sample is unprocessed, including information about the current running water cycle;And determine the corresponding signal, including information about the current state of operation, according to a comparison of unprocessed unprocessed signals.
机译:一个系统由一个学习网络和一个可配置的高级处理器组成:它接收学习到的信息,包含与水车运行状态相关的代表性条件样本,并在每次学习网络都经过标记,未经处理,未经处理的信息时进行标记关于未处理样品的信息,包括有关当前自来水循环的信息;并根据未处理信号的比较,确定相应的信号,包括有关当前运行状态的信息。

著录项

  • 公开/公告号PE20190678A1

    专利类型

  • 公开/公告日2019-05-14

    原文格式PDF

  • 申请/专利权人 CIDRA CORPORATE SERVICES LLC;

    申请/专利号PE20000201900

  • 发明设计人 DAVIS MICHAEL A.;

    申请日2017-09-21

  • 分类号G01F1;G01F1/32;G01F1/74;G01F25;G01N9/36;G01N15/02;G01N29/44;

  • 国家 PE

  • 入库时间 2022-08-21 12:01:24

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