| 基于联合神经网络的传感器故障诊断与重构 |
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| 引用本文： | 王让定,梁正峰,陈华辉. 基于联合神经网络的传感器故障诊断与重构[J]. 传感技术学报, 2005, 18(2): 230-234 |
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| 作者姓名： | 王让定 梁正峰 陈华辉 |
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| 作者单位： | 宁波大学,信息科学与工程学院,浙江,宁波,315211;西门子威迪欧汽车电子中国,上海,201801 |
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| 摘 要： | 针对可能发生的传感器故障,设计出了一种基于联合神经网络的传感器容错系统.提出了一种改进型的径向基函数神经网络,有较强的容错能力.算法包括1个主网络和n个分散网络的联合神经网络结构,各神经网络均基于改进型径向基函数算法,根据一定的控制目标对系统中的传感器故障进行检测、识别和调节,达到了容错控制的目的.
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| 关 键 词： | 传感器故障检测 识别与调节 改进型径向基函数神经网络 联合神经网络 |
| 文章编号： | 1005-9490(2005)02-0230-05 |
| 修稿时间： | 2004-10-29 |
Sensor Failure Detection and Restructure Based on United Neural Network |
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| WA N G Ran gdi ng,L IA N G Zhengf en g,C H EN Huahui. Sensor Failure Detection and Restructure Based on United Neural Network[J]. Journal of Transduction Technology, 2005, 18(2): 230-234 |
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| Authors: | WA N G Ran gdi ng L IA N G Zhengf en g C H EN Huahui |
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| Affiliation: | 1. School of inf ormation science and engineering , N ingbo Universit y , N ingbo Zhej iang 315211 , China;2. S iemens V DO A utomotive China , S hanghai 210801 , China |
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| Abstract: | According to the sensor failure that may be occurred in a system, a fault tolerant system for sensor using united NNs (Neural Networks) is proposed. An extended radial basis function algorithm is put forward with the superior self-fault tolerant ability. The structure including one main NN and n distributed NNs that all use the ERBFA to train is constructed. The fault tolerant design for sensor failure detection, identification, and accommodation is completed according to some certain control objectives. |
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| Keywords: | sensor failure detection identification and accommodation extended radial basis function NN united NNs |
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