Structural Health Monitoring - v. 20, n. 1 (März 2020)

Erschienen:	März 2020

Autor(en)	Titel	Seite(n)
Li, Yehai / Wang, Kai / Wang, Qiang / Yang, Jianwei / Zhou, Pengyu / Su, Yiyin / Guo, Shifeng / Su, Zhongqing	Acousto-ultrasonics-based health monitoring for nano-engineered composites using a dispersive graphene-networked sensing system	240-254
Wang, Shaohan / Zargar, Sakib Ashraf / Yuan, Fuh-Gwo	Augmented reality for enhanced visual inspection through knowledge-based deep learning	426-442
Hughes, James M. / Mohabuth, Munawwar / Khanna, Aditya / Vidler, James / Kotousov, Andrei / Ng, Ching-Tai	Damage detection with the fundamental mode of edge waves	74-83
Mousavi, Zohreh / Varahram, Sina / Ettefagh, Mir Mohammad / Sadeghi, Morteza H. / Razavi, Seyed Naser	Deep neural networks–based damage detection using vibration signals of finite element model and real intact state: An evaluation via a lab-scale offshore jacket structure	379-405
Voggu, Srinivas / Sasmal, Saptarshi	Dynamic nonlinearities for identification of the breathing crack type damage in reinforced concrete bridges	339-359
Ding, Peng / Jia, Minping / Wang, Hua	A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions	273-302
Ma, Zhipeng / Zhao, Ming / Chen, Shuai / Guo, Dong	Encoder-based weak fault detection for rotating machinery using improved Gaussian process regression	255-272
Cheng, Liangliang / Fang, Wenshan / Zhu, Yunpeng	A fast technique using output only to localize and quantify multiple damages for multi-degree-of-freedom systems	321-338
Yang, Cheng / Jia, Minping	Health condition identification for rolling bearing based on hierarchical multiscale symbolic dynamic entropy and least squares support tensor machine–based binary tree	151-172
Cao, Xuwei / Zeng, Liang / Lin, Jing	Lamb wave mode decomposition and reconstruction based on the viscoelastic propagation model	25-45
Ni, Chen-Yin / Lv, Jin-Chao / Zhang, Yue-Ying / He, Hai-Yan / Xia, Xi-Feng / Shen, Zhong-Hua / Gusev, Vitalyi	Laser ultrasonic monitoring of reversible/irreversible modification of a real crack under photothermal loading	173-187
Yu, Fengming / Saito, Osamu / Okabe, Yoji	Laser ultrasonic visualization technique using a fiber-optic Bragg grating ultrasonic sensor with an improved adhesion configuration	303-320
Gianesini, Bárbara M. / Cortez, Nicolás E. / Antunes, Rothschild A. / Filho, Jozue Vieira	Method for removing temperature effect in impedance-based structural health monitoring systems using polynomial regression	202-218
Alnuaimi, Hamad / Amjad, Umar / Russo, Pietro / Lopresto, Valentina / Kundu, Tribikram	Monitoring damage in composite plates from crack initiation to macro-crack propagation combining linear and nonlinear ultrasonic techniques	139-150
Grooteman, Frank	Multiple load path damage detection with optical fiber Bragg grating sensors	46-57
Zhou, Cong / Chase, J. Geoffrey	A new pinched nonlinear hysteretic structural model for automated creation of digital clones in structural health monitoring	101-117
Knopf, Katelyn / Rizos, Dimitris C. / Qian, Yu / Sutton, Michael	A non-contacting system for rail neutral temperature and stress measurements: Concept development	84-100
Li, Dan / Wang, Yang	Parameter identification of a differentiable Bouc-Wen model using constrained extended Kalman filter	360-378
Pan, Yubin / Hong, Rongjing / Chen, Jie / Feng, Jianshe / Wu, Weiwei	Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning	118-138
Yadav, Susheel Kumar / Mishra, Spandan / Kopsaftopoulos, Fotis / Chang, Fu-Kuo	Reliability of crack quantification via acousto-ultrasound active-sensing structural health monitoring using surface-mounted PZT actuators/sensors	219-239
Zhao, Meijie / Zhou, Wensong / Huang, Yong / Li, Hui	Sparse Bayesian learning approach for propagation distance recognition and damage localization in plate-like structures using guided waves	3-24
Gao, Weihang / Zhang, Caiyan / Song, Gangbing / Li, Hong-Nan	Time reversal damage localization in concrete based on two-dimensional meso-scale modeling	188-201
Wang, Zilong / Cha, Young-Jin	Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage	406-425
Wan, Xiang / Liu, Meiru / Zhang, Xuhui / Fan, Hongwei / Tse, Peter W. / Dong, Ming / Wang, Xing / Wei, Huanhuan / Xu, Cuihua / Ma, Hongwei	The use of ultrasonic guided waves for the inspection of square tube structures: Dispersion analysis and numerical and experimental studies	58-73

Autor(en)

Titel

Seite(n)

Li, Yehai / Wang, Kai / Wang, Qiang / Yang, Jianwei / Zhou, Pengyu / Su, Yiyin / Guo, Shifeng / Su, Zhongqing

Acousto-ultrasonics-based health monitoring for nano-engineered composites using a dispersive graphene-networked sensing system

240-254

Wang, Shaohan / Zargar, Sakib Ashraf / Yuan, Fuh-Gwo

Augmented reality for enhanced visual inspection through knowledge-based deep learning

426-442

Hughes, James M. / Mohabuth, Munawwar / Khanna, Aditya / Vidler, James / Kotousov, Andrei / Ng, Ching-Tai

Damage detection with the fundamental mode of edge waves

74-83