An integrated approach for structural damage identification using wavelet neuro-fuzzy model
文献类型:期刊论文
作者 | Zhu FT; Deng ZM![]() ![]() |
刊名 | EXPERT SYSTEMS WITH APPLICATIONS
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出版日期 | 2013-12-15 |
卷号 | 40期号:18页码:7415-7427 |
通讯作者邮箱 | zhufutao1990cool@163.com; dengzhongmin@buaa.edu.cn; zhangjf@imech.ac.cn |
关键词 | Signal processing approach Structural damage identification Wavelet real-time filtering algorithm Adaptive Neuro-Fuzzy Inference System Interval modeling technique |
ISSN号 | 0957-4174 |
产权排序 | [Zhu, Futao; Deng, Zhongmin] Beijing Univ Aeronaut & Astronaut, Sch Astronaut, Beijing 100191, Peoples R China; [Zhang, Junfeng] Chinese Acad Sci, Inst Mech, Beijing 100080, Peoples R China |
通讯作者 | Deng, ZM (reprint author), Beijing Univ Aeronaut & Astronaut, Sch Astronaut, 37 XueYuan Rd, Beijing 100191, Peoples R China. |
合作状况 | 国内 |
中文摘要 | Structural damage can be identified by processing structural vibration response signals and excitation data, and thus the suitability of signal processing methods is essential to structural damage identification. To explore an intelligent signal processing method for structural damage identification, the paper integrated wavelet real-time filtering algorithm, Adaptive Neruo-Fuzzy Inference System (ANFIS) and interval modeling technique to process structural response signals and excitation data. With Wavelet Transform (WT) algorithm filtering random noise, ANFIS was found to model the structural behavior properly and interval modeling technique to quantify damage index accurately. The rapid identifications of several unknown damages and small damages indicate the efficiency of this integrated method. The comparison of these results and some other signal processing methods shows that, the proposed method can be used to identify both the time and the location when the structural damage occurs unexpectedly. |
学科主题 | 结构优化和可靠性分析 |
分类号 | 一类 |
收录类别 | SCI ; EI |
资助信息 | National Natural Sciences Foundation of China [10972019] |
原文出处 | http://dx.doi.org/10.1016/j.eswa.2013.06.078 |
语种 | 英语 |
WOS记录号 | WOS:000324663000026 |
公开日期 | 2013-11-18 |
源URL | [http://dspace.imech.ac.cn/handle/311007/47516] ![]() |
专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
推荐引用方式 GB/T 7714 | Zhu FT,Deng ZM,Zhang JF. An integrated approach for structural damage identification using wavelet neuro-fuzzy model[J]. EXPERT SYSTEMS WITH APPLICATIONS,2013,40(18):7415-7427. |
APA | Zhu FT,Deng ZM,&张均锋.(2013).An integrated approach for structural damage identification using wavelet neuro-fuzzy model.EXPERT SYSTEMS WITH APPLICATIONS,40(18),7415-7427. |
MLA | Zhu FT,et al."An integrated approach for structural damage identification using wavelet neuro-fuzzy model".EXPERT SYSTEMS WITH APPLICATIONS 40.18(2013):7415-7427. |
入库方式: OAI收割
来源:力学研究所
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