| An integrated approach for structural damage identification using wavelet neuro-fuzzy model |
| Zhu FT; Deng ZM; Zhang JF(张均锋); Deng, ZM (reprint author), Beijing Univ Aeronaut & Astronaut, Sch Astronaut, 37 XueYuan Rd, Beijing 100191, Peoples R China.
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发表期刊 | EXPERT SYSTEMS WITH APPLICATIONS
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| 2013-12-15
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卷号 | 40期号:18页码:7415-7427 |
ISSN | 0957-4174
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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. |
关键词 | Signal Processing Approach
Structural Damage Identification
Wavelet Real-time Filtering Algorithm
Adaptive Neuro-fuzzy Inference System
Interval Modeling Technique
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学科领域 | 结构优化和可靠性分析
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URL | 查看原文
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收录类别 | SCI
; EI
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语种 | 英语
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WOS记录号 | WOS:000324663000026
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项目资助者 | National Natural Sciences Foundation of China [10972019]
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课题组名称 | LMFS冲击与耦合效应(LHO)
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论文分区 | 一类
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引用统计 |
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文献类型 | 期刊论文
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条目标识符 | http://dspace.imech.ac.cn/handle/311007/47516
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专题 | 流固耦合系统力学重点实验室
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通讯作者 | Deng, ZM (reprint author), Beijing Univ Aeronaut & Astronaut, Sch Astronaut, 37 XueYuan Rd, Beijing 100191, Peoples R China. |
推荐引用方式 GB/T 7714 |
Zhu FT,Deng ZM,Zhang JF,et al. An integrated approach for structural damage identification using wavelet neuro-fuzzy model[J]. EXPERT SYSTEMS WITH APPLICATIONS,2013,40,18,:7415-7427.
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APA |
Zhu FT,Deng ZM,张均锋,&Deng, ZM .(2013).An integrated approach for structural damage identification using wavelet neuro-fuzzy model.EXPERT SYSTEMS WITH APPLICATIONS,40(18),7415-7427.
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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.
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