APPLICATION OF MULTI-DIMENSIONAL BP NEURAL NETWORK IN FAULT DIAGNOSIS OF BOILERS

GAO Jianqiang; CHEN Peng College of Energy

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APPLICATION OF MULTI-DIMENSIONAL BP NEURAL NETWORK IN FAULT DIAGNOSIS OF BOILERS

Thermal Power Generation Vol. 40, Issue 4, Pages: 77-80(2011)

更新时间：2025-09-28

- APPLICATION OF MULTI-DIMENSIONAL BP NEURAL NETWORK IN FAULT DIAGNOSIS OF BOILERS
- 作者机构：
  
  华北电力大学能源动力与机械工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK228;TP183
- Published：2011
- 稿件说明：
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GAO Jianqiang, CHEN Peng College of Energy. APPLICATION OF MULTI-DIMENSIONAL BP NEURAL NETWORK IN FAULT DIAGNOSIS OF BOILERS[J]. Thermal Power Generation, 2011, 40(4): 77-80.
DOI：

GAO Jianqiang, CHEN Peng College of Energy. APPLICATION OF MULTI-DIMENSIONAL BP NEURAL NETWORK IN FAULT DIAGNOSIS OF BOILERS[J]. Thermal Power Generation, 2011, 40(4): 77-80. DOI：

摘要

采用多维BP神经网络方法进行锅炉故障诊断建模

其中BP神经网络采用多维结构

输入层采用模糊数学方法对运行参数进行量化

通过参数之间和参数与故障类之间的关联关系

建立了多维BP神经网络模型。以锅炉管泄漏为例

进行了故障仿真试验

试验结果表明此方法能有效、快速地进行锅炉故障诊断。

Abstract

By using the multi-dimensional BP neural network method

a model for fault diagnosis of boilers has been esablished.In this model

the BP neural network adopts multi-dimensional structure

and the operating parameters are quantified by using the fuzzy mathematic method in the input layer.Through interrelated relationship among the parameters

as well as between parameters and fault types

a model of multi-dimensional BP neural network has been constructed.Taking pipe leakage in a boiler as example

an emulation test of said fault has been carried out.Results of test show that the said method can effectively and rapidly diagnose the boiler fault.

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