| 基于模糊神经网络的气体密封故障诊断 |
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| 引用本文： | 夏雄,蔡纪宁,李双喜,张秋翔,朱亮.基于模糊神经网络的气体密封故障诊断[J].润滑与密封,2011,36(12). |
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| 作者姓名： | 夏雄 蔡纪宁 李双喜 张秋翔 朱亮 |
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| 作者单位： | 北京化工大学机电工程学院 北京100029 |
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| 摘 要： | 针对传统的依靠单一参数对密封状态监测的不足,利用模糊神经网络处理问题的能力,综合多种密封参数的信息,建立针对密封状态监测的模糊神经网络系统,提出基于模糊神经网络的故障诊断的方法。该方法确定泄漏量、端面温度、气膜厚度、阻封气泄漏量作为密封的监测参数,并确定各个参数的隶属函数;通过大量的历史数据、MAT-LAB模拟数据和专家知识分析得到各个特征参数值和修正值,建立5种密封状态的输出模式;通过隶属函数实现输入样本的模糊化;通过MATLAB编程来设计、优化神经网络结构,利用历史数据训练神经网络。通过实例分析验证了建立的模糊神经网络的实效性。
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| 关 键 词： | 模糊神经网络 故障诊断 气体密封 |
Fault Diagnosis of Gas Seal Based on Fuzzy Neural Network |
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| Xia Xiong,Cai Jining,Li Shuangxi,Zhang Qiuxiang,Zhu Liang.Fault Diagnosis of Gas Seal Based on Fuzzy Neural Network[J].Lubrication Engineering,2011,36(12). |
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| Authors: | Xia Xiong Cai Jining Li Shuangxi Zhang Qiuxiang Zhu Liang |
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| Affiliation: | Xia Xiong Cai Jining Li Shuangxi Zhang Qiuxiang Zhu Liang(College of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China) |
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| Abstract: | According to the defect of seal condition monitoring depending on single parameter,the seal condition monitoring system with fuzzy neural network(FNN)which well applies to setting information problems was established regarding the different information of seal parameter.A fault diagnosis method based on FNN was put forward.Spillage,face temperature,gas film thickness and quench gas spillage that are given the membership functions were selected as the seal monitoring parameter.With sufficient historical data... |
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| Keywords: | fuzzy neural network fault diagnosis gas seal |
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