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基于神经网络的大型风机智能故障诊断系统的研究

Research on the Intelligent Trouble Diagnosis System for Large-scale Fan Based on Neural Network

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【摘要】 介绍了BP网络的基本原理,研究了基于神经网络的故障诊断方法,建立了风机常见故障模式样本。由此研制了一套基于BP网络的风机智能故障诊断系统,将其应用于某大型烧结风机的故障诊断中,结果表明:该系统诊断结果准确可靠,且具有较强的鲁棒性。

【Abstract】 The basic principle of BP network is introduced, the trouble diagnosis method based on neural network is researched. An usual trouble mode sample book for fan is established. So an intelligent trouble diagnosis system for fan based on BP network and this has been used in trouble diagnosis of large-sintering fan.The result shows that the diagnosis results of this system is reliable with powerful robustness.

  • 【文献出处】 风机技术 ,Compressor,Blower & Fan Technology , 编辑部邮箱 ,2007年02期
  • 【分类号】TH43
  • 【被引频次】11
  • 【下载频次】270
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