| 基于神经网络的气体传感器故障诊断 |
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| 引用本文： | 庄哲民.基于神经网络的气体传感器故障诊断[J].工业仪表与自动化装置,2002(4):54-55,60. |
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| 作者姓名： | 庄哲民 |
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| 作者单位： | 东南大学仪器科学与工程系,江苏南京,210096 |
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| 摘 要： | 该文介绍了一种基于人工神经网络进行了气体传感器故障检测的新方法，文中利用单个气体传感器的输出信息为气体传感器建立了动态非线性神经网络气体传感器输出模型，并利用该模型进行在线故障检测，实际使用证明该模型具有良好的收敛性和稳定性，完全能满足对气体传感器故障在线检测的需要。
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| 关 键 词： | 气体传感器 故障诊断 神经网络 非线性 |
| 文章编号： | 1000-0682(2002)04-0054-02 |
ANN-based fault diagnosis applicable to gas sensors |
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| ZHUANG Zhe,min.ANN-based fault diagnosis applicable to gas sensors[J].Industrial Instrumentation & Automation,2002(4):54-55,60. |
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| Authors: | ZHUANG Zhe min |
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| Abstract: | This paper describes a new method for the ANN based fault detection of a gas sensor. The dynamic nonlinear model based neural network is established only by the output information of a single gas sensor. The on line fault diagnosis is made with the help of this model. Since the model is provided with good convergency and stability, it can meet the needs of the on line detection of a gas sensor. |
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| Keywords: | Gas sensor Fault diagnosis Neural network nonlinear |
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