Works in Structural Health Monitoring, 2021, Vol 20, Issue 4

Results: 51

Investigation on the data augmentation using machine learning algorithms in structural health monitoring information.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2054, doi. 10.1177/1475921721996238

By:

Tan, Xuyan;
Sun, Xuanxuan;
Chen, Weizhong;
Du, Bowen;
Ye, Junchen;
Sun, Leilei

Publication type:

Article

Combined machine learning–wave propagation approach for monitoring timber mechanical properties under UV aging.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2035, doi. 10.1177/1475921721995987

By:

Nasir, Vahid;
Fathi, Hamidreza;
Kazemirad, Siavash

Publication type:

Article

Multi-feature integration and machine learning for guided wave structural health monitoring: Application to switch rail foot.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2013, doi. 10.1177/1475921721989577

By:

Liu, Weixu;
Tang, Zhifeng;
Lv, Fuzai;
Chen, Xiangxian

Publication type:

Article

The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2229, doi. 10.1177/14759217211006485

By:

Bao, Yuequan;
Li, Jian;
Nagayama, Tomonori;
Xu, Yang;
Spencer Jr, Billie F;
Li, Hui

Publication type:

Article

Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2216, doi. 10.1177/1475921720988666

By:

Li, Shunlong;
Niu, Jin;
Li, Zhonglong

Publication type:

Article

Simultaneous pixel-level concrete defect detection and grouping using a fully convolutional model.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2199, doi. 10.1177/1475921720985437

By:

Zhang, Chaobo;
Chang, Chih-chen;
Jamshidi, Maziar

Publication type:

Article

Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2182, doi. 10.1177/1475921720980718

By:

Yu, Kun;
Fu, Qiang;
Ma, Hui;
Lin, Tian Ran;
Li, Xiang

Publication type:

Article

Enabling human–infrastructure interfaces for inspection using augmented reality.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1980, doi. 10.1177/1475921720977017

By:

Maharjan, D;
Agüero, M;
Mascarenas, D;
Fierro, R;
Moreu, F

Publication type:

Article

An acoustic-homologous transfer learning approach for acoustic emission–based rail condition evaluation.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2161, doi. 10.1177/1475921720976941

By:

Chen, Si-Xin;
Zhou, Lu;
Ni, Yi-Qing;
Liu, Xiao-Zhou

Publication type:

Article

Machine learning paradigm for structural health monitoring.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1353, doi. 10.1177/1475921720972416

By:

Bao, Yuequan;
Li, Hui

Publication type:

Article

A comparison of machine learning algorithms for assessment of delamination in fiber-reinforced polymer composite beams.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1997, doi. 10.1177/1475921720967157

By:

He, Mengyue;
Wang, Yishou;
Ram Ramakrishnan, Karthik;
Zhang, Zhifang

Publication type:

Article

A hybrid learning strategy for structural damage detection.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2143, doi. 10.1177/1475921720966943

By:

Andrade Nunes, Lorena;
Piazzaroli Finotti Amaral, Rafaelle;
Souza Barbosa, Flávio de;
Abrahão Cury, Alexandre

Publication type:

Article

Vision-based automated crack detection using convolutional neural networks for condition assessment of infrastructure.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2124, doi. 10.1177/1475921720965445

By:

Rao, Aravinda S;
Nguyen, Tuan;
Palaniswami, Marimuthu;
Ngo, Tuan

Publication type:

Article

Health indicator construction for roller bearing based on an unsupervised deep belief network with a novel sigmoid zero local minimum point model.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2110, doi. 10.1177/1475921720963951

By:

Xu, Fan;
Shu, Xin;
Li, Xin;
Tang, Ruoli

Publication type:

Article

An intelligent algorithm based on evolutionary strategy and clustering algorithm for Lamb wave defect location.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2088, doi. 10.1177/1475921720959590

By:

Chen, Honglei;
Liu, Zenghua;
Wu, Bin;
He, Cunfu

Publication type:

Article

Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 2069, doi. 10.1177/1475921720959226

By:

Lei, Xiaoming;
Sun, Limin;
Xia, Ye

Publication type:

Article

Augmented reality for next generation infrastructure inspections.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1957, doi. 10.1177/1475921720953846

By:

Mascareñas, David DL;
Ballor, JoAnn P;
McClain, Oscar L;
Mellor, Miranda A;
Shen, Chih-Yu;
Bleck, Brian;
Morales, John;
Yeong, Li-Ming R;
Narushof, Benjamin;
Shelton, Philo;
Martinez, Eric;
Yang, Yongchao;
Cattaneo, Alessandro;
Harden, Troy A;
Moreu, Fernando

Publication type:

Article

An iterative method for leakage zone identification in water distribution networks based on machine learning.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1938, doi. 10.1177/1475921720950470

By:

Chen, Jingyu;
Feng, Xin;
Xiao, Shiyun

Publication type:

Article

Global bridge damage detection using multi-sensor data based on optimized functional echo state networks.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1924, doi. 10.1177/1475921720948206

By:

Dan, Jingpei;
Feng, Wending;
Huang, Xia;
Wang, Yuming

Publication type:

Article

Noncontact super-resolution guided wave array imaging of subwavelength defects using a multiscale deep learning approach.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1904, doi. 10.1177/1475921720942958

By:

Song, Homin;
Yang, Yongchao

Publication type:

Article

Vibration-based damage detection for bridges by deep convolutional denoising autoencoder.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1880, doi. 10.1177/1475921720942836

By:

Shang, Zhiqiang;
Sun, Limin;
Xia, Ye;
Zhang, Wei

Publication type:

Article

A research on an improved Unet-based concrete crack detection algorithm.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1864, doi. 10.1177/1475921720940068

By:

Zhang, Lingxin;
Shen, Junkai;
Zhu, Baijie

Publication type:

Article

Efficient development of vision-based dense three-dimensional displacement measurement algorithms using physics-based graphics models.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1841, doi. 10.1177/1475921720939522

By:

Narazaki, Yasutaka;
Gomez, Fernando;
Hoskere, Vedhus;
Smith, Matthew D;
Spencer, Billie F

Publication type:

Article

Rapid postearthquake safety evaluation of buildings using sparse acceleration measurements.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1822, doi. 10.1177/1475921720936296

By:

Tsuchimoto, Koji;
Narazaki, Yasutaka;
Hoskere, Vedhus;
Spencer, Billie F

Publication type:

Article

Automated wireless monitoring system for cable tension forces using deep learning.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1805, doi. 10.1177/1475921720935837

By:

Jeong, Seunghoo;
Kim, Hyunjun;
Lee, Junhwa;
Sim, Sung-Han

Publication type:

Article

Deep wavelet sequence-based gated recurrent units for the prognosis of rotating machinery.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1794, doi. 10.1177/1475921720933155

By:

Ma, Meng;
Mao, Zhu

Publication type:

Article

A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1778, doi. 10.1177/1475921720932813

By:

Li, Linchao;
Zhou, Haijun;
Liu, Hanlin;
Zhang, Chaodong;
Liu, Junhui

Publication type:

Article

Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1760, doi. 10.1177/1475921720932384

By:

Saleem, Muhammad Rakeh;
Park, Jong-Woong;
Lee, Jin-Hwan;
Jung, Hyung-Jo;
Sarwar, Muhammad Zohaib

Publication type:

Article

Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1738, doi. 10.1177/1475921720931745

By:

Tang, Zhiyi;
Bao, Yuequan;
Li, Hui

Publication type:

Article

Mechanism of the effect of temperature on frequency based on long-term monitoring of an arch bridge.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1716, doi. 10.1177/1475921720931370

By:

Teng, Jun;
Tang, De-Hui;
Hu, Wei-Hua;
Lu, Wei;
Feng, Zhi-Wen;
Ao, Chun-Feng;
Liao, Ming-Hao

Publication type:

Article

A surveillance system for urban buried pipeline subject to third-party threats based on fiber optic sensing and convolutional neural network.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1704, doi. 10.1177/1475921720930649

By:

Li, Suzhen;
Peng, Renzhu;
Liu, Zelong

Publication type:

Article

Bridge-surface panoramic-image generation for automated bridge-inspection using deepmatching.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1689, doi. 10.1177/1475921720930380

By:

Won, Jongbin;
Park, Jong-Woong;
Shim, Changsu;
Park, Man-Woo

Publication type:

Article

Structural damage identification via physics-guided machine learning: a methodology integrating pattern recognition with finite element model updating.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1675, doi. 10.1177/1475921720927488

By:

Zhang, Zhiming;
Sun, Chao

Publication type:

Article

A holistic cyber-physical security protocol for authenticating the provenance and integrity of structural health monitoring imagery data.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1657, doi. 10.1177/1475921720927323

By:

Jung, HweeKwon;
Green, Andre;
Morales, John;
Silva, Moises;
Martinez, Bridget;
Cattaneo, Alessandro;
Yang, Yongchao;
Park, Gyuhae;
McClean, Jarrod;
Mascareñas, David

Publication type:

Article

Sparse representation for damage identification of structural systems.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1644, doi. 10.1177/1475921720926970

By:

Chen, Zhao;
Sun, Hao

Publication type:

Article

Field experiment on a PSC-I bridge for convolutional autoencoder-based damage detection.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1627, doi. 10.1177/1475921720926267

By:

Lee, Kanghyeok;
Jeong, Seunghoo;
Sim, Sung-Han;
Shin, Do Hyoung

Publication type:

Article

Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1609, doi. 10.1177/1475921720924601

By:

Mao, Jianxiao;
Wang, Hao;
Spencer Jr, Billie F

Publication type:

Article

If structure can exclaim: a novel robotic-assisted percussion method for spatial bolt-ball joint looseness detection.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1597, doi. 10.1177/1475921720923147

By:

Wang, Furui;
Mobiny, Aryan;
Van Nguyen, Hien;
Song, Gangbing

Publication type:

Article

Detecting structural damage under unknown seismic excitation by deep convolutional neural network with wavelet-based transmissibility data.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1583, doi. 10.1177/1475921720923081

By:

Lei, Ying;
Zhang, Yixiao;
Mi, Jianan;
Liu, Weifeng;
Liu, Lijun

Publication type:

Article

A particle swarm optimization–support vector machine hybrid system with acoustic emission on damage degree judgment of carbon fiber reinforced polymer cables.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1551, doi. 10.1177/1475921720922824

By:

Xu, Jie;
Liu, Xuan;
Han, Qinghua;
Wang, Weixin

Publication type:

Article

Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1563, doi. 10.1177/1475921720922797

By:

Li, Dan;
Wang, Yang;
Yan, Wang-Ji;
Ren, Wei-Xin

Publication type:

Article

A Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1536, doi. 10.1177/1475921720921772

By:

Ni, Yi-Qing;
Zhang, Qiu-Hu

Publication type:

Article

Structural damage detection based on variational Bayesian inference and delayed rejection adaptive Metropolis algorithm.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1518, doi. 10.1177/1475921720921256

By:

Wang, Xiaoyou;
Hou, Rongrong;
Xia, Yong;
Zhou, Xiaoqing

Publication type:

Article

Attribute-based structural damage identification by few-shot meta learning with inter-class knowledge transfer.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1494, doi. 10.1177/1475921720921135

By:

Xu, Yang;
Bao, Yuequan;
Zhang, Yufeng;
Li, Hui

Publication type:

Article

On the vulnerability of data-driven structural health monitoring models to adversarial attack.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1476, doi. 10.1177/1475921720920233

By:

Champneys, Max David;
Green, Andre;
Morales, John;
Silva, Moisés;
Mascarenas, David

Publication type:

Article

Three-dimensional image coordinate-based missing region of interest area detection and damage localization for bridge visual inspection using unmanned aerial vehicles.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1462, doi. 10.1177/1475921720918675

By:

Yoon, Sungsik;
Gwon, Gi-Hun;
Lee, Jin-Hwan;
Jung, Hyung-Jo

Publication type:

Article

Deep residual network framework for structural health monitoring.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1443, doi. 10.1177/1475921720918378

By:

Wang, Ruhua;
Chencho;
An, Senjian;
Li, Jun;
Li, Ling;
Hao, Hong;
Liu, Wanquan

Publication type:

Article

Deep super resolution crack network (SrcNet) for improving computer vision–based automated crack detectability in in situ bridges.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1428, doi. 10.1177/1475921720917227

By:

Bae, Hyunjin;
Jang, Keunyoung;
An, Yun-Kyu

Publication type:

Article

Damage identification based on convolutional neural network and recurrence graph for beam bridge.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1392, doi. 10.1177/1475921720916928

By:

He, Hao-xiang;
Zheng, Jia-cheng;
Liao, Li-can;
Chen, Yan-jiang

Publication type:

Article

Propagative broad learning for nonparametric modeling of ambient effects on structural health indicators.

Published in:

Structural Health Monitoring, 2021, v. 20, n. 4, p. 1409, doi. 10.1177/1475921720916923

By:

Kuok, Sin-Chi;
Yuen, Ka-Veng;
Roberts, Stephen;
Girolami, Mark A

Publication type:

Article