首页> 外国专利> FAULT DIAGNOSIS METHOD FOR STEAM TURBINE GENERATOR (STG)

FAULT DIAGNOSIS METHOD FOR STEAM TURBINE GENERATOR (STG)

机译:汽轮发电机组故障诊断方法

摘要

#$%^&*AU2020102137A420201015.pdf#####ABSTRACT A fault diagnosis method for a steam turbine generator (STG) includes: acquiring operating parameters, namely a stator voltage, a motor shaft temperature, a stator temperature, a rotor speed, and a rotor temperature, of a STG to be diagnosed; diagnosing, by a neural network model which includes a stacked autoencoder and a plurality of K-means classifiers, whether or not the STG to be diagnosed is faulty according to the operating parameters of the STG to be diagnosed to obtain a fault type of the STG to be diagnosed; acquiring a negative-sequence current of a stator of the STG to be diagnosed; and correcting the fault type of the STG to be diagnosed according to the negative-sequence current of the stator to obtain a diagnostic result on the STG to be diagnosed. The present invention can improve accuracy in fault diagnosis on the STG.1/1 DRAWINGS 100 Acquire operating parameters of a steam turbine generator to be diagnosed 200 Diagnose, by a neural network model, whether or not the steam turbine generator to be diagnosed is faulty according to the operating parameters of the steam turbine generator to be diagnosed to obtain a fault type of the steam turbine generator to be diagnosed 300 Acquire a negative-sequence current of a stator of the steam turbine generator to be diagnosed 400 Correct the fault type of the steam turbine generator to be diagnosed according to the negative-sequence current of the stator to obtain a diagnostic result on the steam turbine generator to be diagnosed FIG. 1 201 Generator parameter acquisition module 202 Fault diagnosis module 203 Negative-sequence current acquisition module 204 Correction module FIG. 2
机译:#$%^&* AU2020102137A420201015.pdf #####抽象一种汽轮发电机故障诊断方法,包括:参数,即定子电压,电机轴温度,定子温度,转子速度,以及待诊断的STG的转子温度;通过神经网络模型进行诊断包括堆叠的自动编码器和多个K均值分类器,无论STG是否根据要诊断的STG的操作参数确定要诊断的故障要诊断的STG的故障类型;获取定子的负序电流要诊断的STG;并根据诊断结果更正待诊断的STG的故障类型定子的负序电流,以在要诊断的STG上获得诊断结果。本发明可以提高STG上的故障诊断的准确性。1/1图纸100获取要诊断的汽轮发电机的运行参数200通过神经网络模型诊断蒸汽轮机发电机是否根据蒸汽的运行参数确定要诊断的故障被诊断以获得蒸汽涡轮故障类型的涡轮发电机诊断发电机300获取蒸汽涡轮发电机定子的负序电流以被诊断400根据以下内容更正要诊断的汽轮发电机的故障类型定子的负序电流,以获得对电机的诊断结果诊断的汽轮发电机图。 1个201发电机参数采集模块202故障诊断模块203负序电流采集模组204校正模块图。 2

著录项

  • 公开/公告号AU2020102137A4

    专利类型

  • 公开/公告日2020-10-15

    原文格式PDF

  • 申请/专利权人 UNIVERSITY OF SOUTH CHINA;

    申请/专利号AU20200102137

  • 发明设计人 XIAO JINFENG;XIAO QIRONG;XIAO QIMING;

    申请日2020-09-04

  • 分类号G06N3/02;G06N3/08;

  • 国家 AU

  • 入库时间 2022-08-21 11:11:32

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