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大型水轮机组故障诊断的神经网络方法研究

刘光临 程宏举

水力发电学报Issue(2):86-92,7.
水力发电学报Issue(2):86-92,7.

大型水轮机组故障诊断的神经网络方法研究

The Research of Neural Network Method in the Faults Diagnosis of Lrge-scale Turbo Units

刘光临 1程宏举1

作者信息

  • 1. 武汉大学动力工程系
  • 折叠

摘要

Abstract

With the application demand of neural network in faults diagnosis of large-scale turbo units,facing with the limits of single neural networkd model,the article analyses current neural network models,and designs and discusses the hybrid networkd for diagnosis.The model integrates both the advantage of MLP model and ART model,then builds the HANN models for turbo-unit's faults diagnosis,and is applied in the system of monitor and faults diagnosis for largescale turbo-unit.

关键词

故障诊断/神经网络/水轮机组/模式识别

分类

信息技术与安全科学

引用本文复制引用

刘光临,程宏举..大型水轮机组故障诊断的神经网络方法研究[J].水力发电学报,2001,(2):86-92,7.

水力发电学报

OA北大核心CSCD

1003-1243

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