| 基于信息融合的车辆运行异常程度检测 |
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| 引用本文： | 张坡,郝敬彬,王焕,彭淑彦.基于信息融合的车辆运行异常程度检测[J].计算机系统应用,2015,24(5):267-271. |
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| 作者姓名： | 张坡 郝敬彬 王焕 彭淑彦 |
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| 作者单位： | 浙江工业大学 信息工程学院学院, 杭州 310023;浙江工业大学 信息工程学院学院, 杭州 310023;浙江工业大学 信息工程学院学院, 杭州 310023;博格华纳汽车零部件宁波有限公司, 宁波 315000 |
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| 摘 要： | 研究使用GA-FNN算法实时提取车辆监控中运行异常的问题. 利用遗传算法对全局信息的搜索特性, 筛选出有效的传感器信息作为模糊神经网络的输入, 通过模糊神经网络训练出模糊矩阵, 实时检测车辆运行的异常程度. 仿真结果显示GA-FNN算法在车辆实时监控系统中, 可以快速的检测出车辆的异常程度.
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| 关 键 词： | 信息融合 遗传算法 特征降维 模糊神经网络 车辆监控 |
| 收稿时间： | 2014/9/28 0:00:00 |
| 修稿时间： | 2014/10/24 0:00:00 |
Detection Abnormal Degree in Real-Time Vehicle Based on Information Fusion |
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| ZHANG Po,HAO Jing-Bin,WANG Huan and PENG Shu-Yan.Detection Abnormal Degree in Real-Time Vehicle Based on Information Fusion[J].Computer Systems& Applications,2015,24(5):267-271. |
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| Authors: | ZHANG Po HAO Jing-Bin WANG Huan and PENG Shu-Yan |
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| Affiliation: | College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;BorgWarner Automotive Components Co. LTD, Ningbo 315000, China |
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| Abstract: | This paper utilizes the GA-FNN algorithms to extract the unusual problems in real-time vehicle monitoring. GA algorithm has the features of searching the global information, thus in this way a new approach is given to select the effective sensor information, and use it as the input of fuzzy neural network. The fuzzy matrix trained by fuzzy neural network can detect the degree of abnormal through real-time operation of the vehicle. The simulation examples demonstrate the validity of the application of the GA-FNN, the abnormal degree can be detected quickly. |
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| Keywords: | information fusion genetic algorithm feature dimension reduction fuzzy neural network vehicle-mounted monitoring |
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