Structural Health Monitoring - v. 22, n. 2 (Mai 2022)

Erschienen:	Mai 2022

Artikel in dieser Ausgabe

Autor(en)	Titel	Seite(n)
Livadiotis, Stylianos / Sitaropoulos, Konstantinos / Ebrahimkhanlou, Arvin / Salamone, Salvatore	Acoustic emission monitoring of corrosion in steel pipes using Lamb-type helical waves	147592172211056
Rajeev, Anupoju / Pamwani, Lavish / Ojha, Shivam / Shelke, Amit	Adaptive Autoregressive Modelling Based Structural Health Monitoring of RC Beam-Column Joint Subjected to Shock Loading	147592172211013
Roberts, Callum / García Cava, David / Avendaño-Valencia, Luis D.	Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations	147592172210919
Yin, Tingyuan / Ng, Ching Tai / Vidler, James / Ho, Van Dac / Kotousov, Andrei	Amplitude-Modulation Vibro-Acoustic Technique for Damage Evaluation	147592172211062
Li, Yuanyuan / Yu, Meng / Wu, Decheng / Li, Rui / Xu, Kefei / Cheng, Longqi	Automatic pixel-level detection method for concrete crack with channel-spatial attention convolution neural network	147592172211094
Ma, Tianchi / Song, Di / Shen, Junxian / Xu, Feiyun	Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance	147592172211098
Lei, Xinyi / Chen, Zhicheng / Li, Hui / Wei, Shiyin	A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural condition assessment	147592172211013
Zhang, Yifeng / Cegla, Frederic	Co-located dual-wave ultrasonics for component thickness and temperature distribution monitoring	147592172211044
Sun, Qi / Chen, Chunjun / Liu, Xinchang	Comparative study of stator current-based and vibration-based methods for railway traction motor bearing cage fault diagnosis at high-speed condition	147592172211042
Zhang, Han / Hua, Jiadong / Lin, Jing / Tong, Tong	Damage localization with Lamb waves using dense convolutional sparse coding network	147592172210921
Omori Yano, Marcus / da Silva, Samuel / Figueiredo, Eloi / Giacon Villani, Luis G.	Damage quantification using transfer component analysis combined with Gaussian process regression	147592172210945
Hajializadeh, Donya	Deep learning-based indirect bridge damage identification system	147592172210871
Dambros Menin, Paulo / de Abreu Corrêa, Lúcio / Rosauro Clarke, Thomas Gabriel / Alvin Liang, Denis	Enhancing damage localisation in critical areas of storage tanks in floating production storage and offloadings with a guided wave structural health monitoring system	147592172110665
Aujoux, Clarisse / Mesnil, Olivier	Environmental impact assessment of guided wave-based structural health monitoring	147592172210887
Abbassi, Abderrahim / Römgens, Niklas / Tritschel, Franz Ferdinand / Penner, Nikolai / Rolfes, Raimund	Evaluation of machine learning techniques for structural health monitoring using ultrasonic guided waves under varying temperature conditions	147592172211075
Liu, Dongdong / Cui, Lingli / Cheng, Weidong	Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions	147592172211099
Amer, Ahmad / Kopsaftopoulos, Fotis	Gaussian process regression for active sensing probabilistic structural health monitoring: experimental assessment across multiple damage and loading scenarios	147592172210987
Du, Bowen / Wu, Liyu / Sun, Leilei / Xu, Fei / Li, Linchao	Heterogeneous structural responses recovery based on multi-modal deep learning	147592172210944
Tofighi Niaki, Soheil / Alavi, Hassan / Ohadi, Abdolreza	Incipient Fault Detection of Helical Gearbox Based on Variational Mode Decomposition and Time Synchronous Averaging	147592172211084
Alexander, Jane / Li, Zhao / Lee, Pedro / Roxburgh, Colin / Davidson, Mark	Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration	147592172210936
Yu, Zexing / Sun, Jiaying / Xu, Chao / Du, Fei	Locating of acoustic emission source for stiffened plates based on stepwise time-reversal processing with time-domain spectral finite element simulation	147592172210944
Xin, Cun / Wang, Cunjun / Xu, Zili / Wang, Jun / Yan, Song	Marker-free fatigue crack detection and localization by integrating the optical flow and information entropy	147592172211032
Ma, Zhi / Luo, Yaozhi / Yun, Chung-Bang / Wan, Hua-Ping / Shen, Yanbin	An MPPCA-based approach for anomaly detection of structures under multiple operational conditions and missing data	147592172211007
Xu, Xiang / Forde, Michael C. / Ren, Yuan / Huang, Qiao / Liu, Bin	Multi-index probabilistic anomaly detection for large span bridges using Bayesian estimation and evidential reasoning	147592172210927
Milanoski, Dimitrios / Galanopoulos, Georgios / Zarouchas, Dimitrios / Loutas, Theodoros	Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin	147592172211086
Feng, Ke / Ji, JC / Ni, Qing	A novel adaptive bandwidth selection method for Vold–Kalman filtering and its application in wind turbine planetary gearbox diagnostics	147592172210999
Sheng, Wenjuan / Liu, Yutao / Söffker, Dirk	A novel adaptive boosting algorithm with distance-based weighted least square support vector machine and filter factor for carbon fiber reinforced polymer multi-damage classification	147592172210981
Chen, Bingyan / Song, Dongli / Zhang, Weihua / Cheng, Yao	A novel spectral coherence-based envelope spectrum for railway axle-box bearing damage identification	147592172210950
Guo, Shuanglin / Rébillat, Marc / Mechbal, Nazih	Prediction of frequency and spatially dependent attenuation of guided waves propagating in mounted and unmounted A380 parts made up of anisotropic viscoelastic composite laminates	147592172210999
Li, Yang / Zou, Lei / Lee, Chi-Guhn / Xu, Feiyun	A progressive decomposing and double screening strategy of VMD for weak fault extraction of hoisting machinery	147592172211056
Niu, Jin / Li, Zhonglong / Zhuo, Yi / Di, Hao / Wei, Jianfeng / Wang, Xin / Guo, Yapeng / Li, Shunlong	Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder	147592172210951
Yuan, Rui / Lv, Yong / Lu, Zhiwen / Li, Si / Li, Hewenxuan	Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions	147592172210911
Wang, Chenyue / Gao, Jingze / Li, Hui / Lin, Chao / Beck, James L. / Huang, Yong	Robust sparse Bayesian learning for broad learning with application to high-speed railway track monitoring	147592172211042
Shim, Seungbo / Kim, Jin / Cho, Gye-Chun / Lee, Seong-Won	Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks	147592172210978
Zhan, Liwei / Li, ZhengHui / Zhuo, Shi / Gong, Ping / Luan, Jingyan / Feng, Xu / Li, Chengwei	Study on cage slip for rolling bearing under speed variation conditions	147592172210898
Ghose, Bikash / Panda, Rabi S. / Balasubramaniam, Krishnan	A study on the use of fundamental antisymmetric-like guided wave for health monitoring of elastic–viscoelastic bilayer structures	147592172211048
Geng, Peng / Jia, Mengye / Ren, Xiaoxia	Tunnel lining water leakage image Segmentation based on improved BlendMask	147592172210935
Giannakeas, Ilias N. / Sharif Khodaei, Zahra. / Aliabadi, M. H.	An up-scaling temperature compensation framework for guided wave–based structural health monitoring in large composite structures	147592172210954
Markogiannaki, Olga / Arailopoulos, Alexandros / Giagopoulos, Dimitrios / Papadimitriou, Costas	Vibration-based Damage Localization and Quantification Framework of Large-Scale Truss Structures	147592172211004

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IssueID
69347
Veröffentlicht am:
21.03.2023
Geändert am:
21.03.2023

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Structural Health Monitoring - v. 22, n. 2 (Mai 2022)

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Structural Health Monitoring - v. 22, n. 2 (Mai 2022)

Artikel in dieser Ausgabe

Sie haben Ihr monatliches Download-Limit überschritten! Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen. Structurae Pro-Nutzer·innen sind auf 50 beschränkt.

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