Works in Structural Health Monitoring, 2022, Vol 21, Issue 6

Results: 29

Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2851, doi. 10.1177/14759217221088492

By:

Yuan, Rui;
Lv, Yong;
Wang, Tao;
Li, Si;
Li, Hewenxuan

Publication type:

Article

Structural deformation prediction model based on extreme learning machine algorithm and particle swarm optimization.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2786, doi. 10.1177/14759217211072237

By:

Jiang, Shouyan;
Zhao, Linxin;
Du, Chengbin

Publication type:

Article

Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2910, doi. 10.1177/14759217221080718

By:

Wootton, Adam J;
Day, Charles R;
Haycock, Peter W

Publication type:

Article

Self-monitoring of stresses in grouted sleeves using smart grout.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2922, doi. 10.1177/14759217221080516

By:

Qiao, Guofu;
Sun, Jiongfeng

Publication type:

Article

Bayesian dynamic linear model framework for structural health monitoring data forecasting and missing data imputation during typhoon events.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2933, doi. 10.1177/14759217221079529

By:

Wang, Qi-Ang;
Wang, Chang-Bao;
Ma, Zhan-Guo;
Chen, Wei;
Ni, Yi-Qing;
Wang, Chu-Fan;
Yan, Bing-Gang;
Guan, Pei-Xuan

Publication type:

Article

Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2890, doi. 10.1177/14759217221077414

By:

Yang, Di;
Lv, Yong;
Yuan, Rui;
Li, Hewenxuan;
Zhu, Weihang

Publication type:

Article

Separate modeling technique for deformation monitoring of concrete dams.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2968, doi. 10.1177/14759217221079013

By:

Yin, Chuan;
Wu, Zhenyu

Publication type:

Article

A new GW-based heteroscedastic Gaussian process method for online crack evaluation.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2874, doi. 10.1177/14759217221076740

By:

Wang, Hui;
Yuan, Shenfang;
Xu, Qiuhui;
Meng, Yixing;
Ren, Yuanqiang

Publication type:

Article

Structural health monitoring of fastener hole using ring-design direct-write piezoelectric ultrasonic transducer.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2657, doi. 10.1177/14759217211073950

By:

Wong, Voon-Kean;
Liu, Menglong;
Goh, Wei-Peng;
Chen, Shuting;
Zheng Wong, Zheng;
Cui, Fangsen;
Yao, Kui

Publication type:

Article

Three decades of statistical pattern recognition paradigm for SHM of bridges.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 3018, doi. 10.1177/14759217221075241

By:

Figueiredo, Eloi;
Brownjohn, James

Publication type:

Article

Damage severity assessment in composite structures using multi-frequency lamb waves.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2834, doi. 10.1177/14759217221076736

By:

Nandyala, Anvesh R;
Darpe, Ashish K;
Singh, Satinder P

Publication type:

Article

Integrating visual sensing and structural identification using 3D-digital image correlation and topology optimization to detect and reconstruct the 3D geometry of structural damage.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2804, doi. 10.1177/14759217211073505

By:

Dizaji, Mehrdad S;
Harris, Devin K;
Alipour, Mohamad

Publication type:

Article

Automatic defect detection for ultrasonic wave propagation imaging method using spatio-temporal convolution neural networks.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2750, doi. 10.1177/14759217211073503

By:

Ye, Jiaxing;
Toyama, Nobuyuki

Publication type:

Article

Statistics-based baseline-free approach for rapid inspection of delamination in composite structures using ultrasonic guided waves.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2719, doi. 10.1177/14759217211073335

By:

Jagadeeshwar, Tabjula L;
Kalyani, Sheetal;
Rajagopal, Prabhu;
Srinivasan, Balaji

Publication type:

Article

On the use of Vibrational Hill Charts for improved condition monitoring and diagnosis of hydraulic turbines.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2547, doi. 10.1177/14759217211072409

By:

Zhao, Weiqiang;
Presas, Alexandre;
Egusquiza, Mònica;
Valentín, David;
Egusquiza, Eduard;
Valero, Carme

Publication type:

Article

Non-parametric empirical machine learning for short-term and long-term structural health monitoring.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2700, doi. 10.1177/14759217211069842

By:

Entezami, Alireza;
Shariatmadar, Hashem;
De Michele, Carlo

Publication type:

Article

A multiple-point monitoring model for concrete dam displacements based on correlated multiple-output support vector regression.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2768, doi. 10.1177/14759217211069639

By:

Ren, Qiubing;
Li, Mingchao;
Bai, Shuo;
Shen, Yang

Publication type:

Article

Reweighted-Kurtogram with sub-bands rearranged and ensemble dual-tree complex wavelet packet transform for bearing fault diagnosis.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2951, doi. 10.1177/14759217211069197

By:

Zhang, Xin;
Zhang, Zhongqiang;
Wang, Jiaxu;
Liu, Zhiwen;
Wang, Lei

Publication type:

Article

Simulation analysis method of expandable and flexible sensor networks based on the flexible printed circuit process.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2670, doi. 10.1177/14759217211068893

By:

Hu, Shuguang;
Wang, Yu;
Xiong, Tao;
Wang, Chongqi;
Huang, Yongan;
Qiu, Lei

Publication type:

Article

Attention recurrent residual U-Net for predicting pixel-level crack widths in concrete surfaces.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2732, doi. 10.1177/14759217211068859

By:

Rao, Aravinda S;
Nguyen, Tuan;
Le, Son T;
Palaniswami, Marimuthu;
Ngo, Tuan

Publication type:

Article

Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2641, doi. 10.1177/14759217211068107

By:

Song, Di;
Xu, Feiyun;
Ma, Tianchi

Publication type:

Article

Detection of shallow wall-thinning of pipes using a flexible interdigital transducer-based scanning laser Doppler vibrometer.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2688, doi. 10.1177/14759217211067830

By:

Kang, To;
Han, Seong-Jin;
Han, Soonwoo;
Kim, Kyung-Mo;
Kim, Dong-Jin

Publication type:

Article

Health condition monitoring of bearings based on multifractal spectrum feature with modified empirical mode decomposition-multifractal detrended fluctuation analysis.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2618, doi. 10.1177/14759217211065991

By:

Chen, Guangyi;
Yan, Changfeng;
Meng, Jiadong;
Wang, Zonggang;
Wu, Lixiao

Publication type:

Article

A novel structural damage identification method based on the acceleration responses under ambient vibration and an optimized deep residual algorithm.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2587, doi. 10.1177/14759217211065009

By:

Alazzawi, Osama;
Wang, Dansheng

Publication type:

Article

Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2518, doi. 10.1177/14759217211063424

By:

Lee, Jaebeom;
Jeong, Seunghoo;
Lee, Junhwa;
Sim, Sung-Han;
Lee, Kyoung-Chan;
Lee, Young-Joo

Publication type:

Article

A novel strategy using optimized MOMED and B-spline based envelope-derivative operator for compound fault detection of the rolling bearing.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2569, doi. 10.1177/14759217211062826

By:

Xu, Yuanbo;
Li, Yongbo;
Wang, Youming;
Wei, Yu;
Li, Zhaoxing

Publication type:

Article

Structural performance assessment considering both observed and latent environmental and operational conditions: A Gaussian process and probability principal component analysis method.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2531, doi. 10.1177/14759217211062099

By:

Zhu, Yi-Chen;
Xiong, Wen;
Song, Xiao-Dong

Publication type:

Article

Automatic quality detection system for structural objects using dynamic output method: Case study Vilnius bridges.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2505, doi. 10.1177/14759217211061518

By:

Bucinskas, Vytautas;
Dzedzickis, Andrius;
Sesok, Nikolaj;
Iljin, Igor;
Sutinys, Ernestas;
Sumanas, Marius;
Morkvenaite-Vilkonciene, Inga

Publication type:

Article

Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring.

Published in:

Structural Health Monitoring, 2022, v. 21, n. 6, p. 2990, doi. 10.1177/14759217211060780

By:

Falcetelli, Francesco;
Yue, Nan;
Di Sante, Raffaella;
Zarouchas, Dimitrios

Publication type:

Article