| 基于T-S模糊神经网络的汽车故障诊断的研究 |
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| 引用本文： | 柯喻寅,谢镔,吴卿.基于T-S模糊神经网络的汽车故障诊断的研究[J].杭州电子科技大学学报,2012,32(2):41-44. |
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| 作者姓名： | 柯喻寅 谢镔 吴卿 |
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| 作者单位： | 杭州电子科技大学计算机应用技术研究所,浙江杭州,310018 |
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| 基金项目： | 浙江省科技厅科技计划资助项目 |
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| 摘 要： | 该文根据模糊神经网络的特性结合汽车故障诊断的技术,根据监控排放标准,采用个人手持式故障诊断仪获取数据流,T-S模糊逻辑与神经网络结合,训练模糊神经网络,进行故障诊断。使用误差反馈算法和模糊理论训练神经网络,根据训练完成的T-S模型对汽车防抱死系统故障进行诊断。体现了其诊断的准确性强和适用性广的特性。
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| 关 键 词： | 模糊神经网络 故障诊断 误差反馈 隶属函数 |
The Vehicle Fault Diagnosis Research Based on T-S Model Fuzzy Neural Network |
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| KE Yu-yin
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XIE Bin
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WU Qing.The Vehicle Fault Diagnosis Research Based on T-S Model Fuzzy Neural Network[J].Journal of Hangzhou Dianzi University,2012,32(2):41-44. |
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| Authors: | KE Yu-yin XIE Bin WU Qing |
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| Affiliation: | (Institute of Computer Application Technology,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China) |
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| Abstract: | This paper is based on fuzzy neural network and fault diagnosis of automobile technology,according to the standard of OBDII,using personal handheld fault diagnosis instrument（PHFDI） to get the data flow,combining T-S fuzzy logic and neural networks,to train fuzzy neural networks,to achieve the fault diagnosis.Using the BP algorithm and fuzzy theory trains the neural network.Then T-S model neural network which be training completed diagnose the ABS of vehicle.It not only improves the accuracy of diagnosis,but also expands the scope of diagnosis. |
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| Keywords: | fuzzy neural network fault diagnosis error feedback membership function |
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