| 基于FMEA与RBF神经网络的LPG汽车罐车储罐系统故障诊断 |
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| 引用本文： | 马成正,王洪德.基于FMEA与RBF神经网络的LPG汽车罐车储罐系统故障诊断[J].中国安全科学学报,2011,21(1). |
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| 作者姓名： | 马成正 王洪德 |
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| 作者单位： | 1. 柳州铁道职业技术学院,运输与经济管理系,广西柳州545007
2. 大连交通大学,土木与安全工程学院,辽宁大连116028 |
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| 基金项目： | 广西壮族自治区教育厅科研基金 |
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| 摘 要： | 为了对液化石油气(LPG)公路运输罐车储罐系统故障进行准确、全面的诊断,通过利用故障模式影响分析方法(FMEA)构建储罐系统故障模式及故障特征指标,根据日常检测数据构造训练样本,运用径向基函数(RBF)神经网络对网络进行训练建立诊断模型并利用诊断模型对罐车故障进行诊断。经验证:诊断结果与实际情况相符合。因此,基于FMEA与RBF神经网络所构建的模型可以用于危险化学品汽车罐车储罐系统的故障诊断。
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| 关 键 词： | 故障模式影响分析(FMEA) 径向基函数(RBF)神经网络 LPG储罐 故障指标 故障诊断 |
Fault Diagnosis of LPG Tank Car Based on FMEA and RBF Neural Network |
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| MA Cheng-zheng,WANG Hong-de.Fault Diagnosis of LPG Tank Car Based on FMEA and RBF Neural Network[J].China Safety Science Journal,2011,21(1). |
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| Authors: | MA Cheng-zheng WANG Hong-de |
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| Institution: | MA Cheng-zheng1 WANG Hong-de2 (1 Department of Transportation & Economic Management,Liuzhou Railway Vocational Technical College,Liuzhou Guangxi 545007,China 2 College of Civil & Safety Engineering,Dalian Jiaotong University,Dalian Liaoning 116028,China) |
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| Abstract: | In order to diagnose the fault of the LPG tank for road transportation accurately and roundly,the failure mode and failure index system were founded based on the method of FMEA.Then training samples were constructed according to the daily test data by which the RBF neural network was trained and the diagnosis model was built.At last,to verify the correctness,the model was applied to diagnose the tank's fault.The results show that the diagnosis fault of the model is consistent with the actual fault of tank.S... |
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| Keywords: | failure mode and effect analysis(FMEA) radial basis function(RBF) neural network liquefied petroleum gas(LPG)tank fault index fault diagnosis |
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