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Kai Zhou
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Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations
K Zhou, E Diehl, J Tang
Mechanical Systems and Signal Processing 185, 109772, 2023
732023
Fault identification using piezoelectric impedance measurement and model-based intelligent inference with pre-screening
Q Shuai, K Zhou, S Zhou, J Tang
Smart Materials and Structures 26 (4), 045007, 2017
442017
Structural model updating using adaptive multi-response Gaussian process meta-modeling
K Zhou, J Tang
Mechanical Systems and Signal Processing 147, 107121, 2021
412021
Strain gauge placement optimization for structural performance assessment
K Zhou, ZY Wu
Engineering Structures 141, 184-197, 2017
362017
Electropolymerized molecularly imprinted polymer synthesis guided by an integrated data-driven framework for cortisol detection
G Dykstra, B Reynolds, R Smith, K Zhou, Y Liu
ACS applied materials & interfaces 14 (22), 25972-25983, 2022
342022
Harnessing fuzzy neural network for gear fault diagnosis with limited data labels
K Zhou, J Tang
The International Journal of Advanced Manufacturing Technology 115 (4), 1005 …, 2021
302021
Uncertainty quantification in structural dynamic analysis using two-level Gaussian processes and Bayesian inference
K Zhou, J Tang
Journal of Sound and Vibration 412, 95-115, 2018
282018
A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification
P Cao, Y Zhang, K Zhou, J Tang
Structural and Multidisciplinary Optimization 66 (1), 16, 2023
212023
Uncertainty analysis of curing-induced dimensional variability of composite structures utilizing physics-guided Gaussian process meta-modeling
K Zhou, R Enos, D Zhang, J Tang
Composite Structures 280, 114816, 2022
212022
Harnessing deep learning for physics-informed prediction of composite strength with microstructural uncertainties
K Zhou, H Sun, R Enos, D Zhang, J Tang
Computational Materials Science 197, 110663, 2021
202021
Probabilistic bearing fault diagnosis using Gaussian process with tailored feature extraction
M Liang, K Zhou
The International Journal of Advanced Manufacturing Technology 119 (3), 2059 …, 2022
192022
Early-stage gas identification using convolutional long short-term neural network with sensor array time series data
K Zhou, Y Liu
Sensors 21 (14), 4826, 2021
182021
Uncertainty quantification of mode shape variation utilizing multi-level multi-response Gaussian process
K Zhou, J Tang
Journal of Vibration and Acoustics 143 (1), 011003, 2021
172021
Design optimization toward alleviating forced response variation in cyclically periodic structure using Gaussian process
K Zhou, A Hegde, P Cao, J Tang
Journal of Vibration and Acoustics 139 (1), 011017, 2017
172017
Highly efficient probabilistic finite element model updating using intelligent inference with incomplete modal information
K Zhou, J Tang
Journal of Vibration and Acoustics 138 (5), 051016, 2016
172016
Efficient characterization of dynamic response variation using multi-fidelity data fusion through composite neural network
K Zhou, J Tang
Engineering Structures 232, 111878, 2021
162021
Generic framework of sensor placement optimization for structural health modeling
K Zhou, ZY Wu, XH Yi, DP Zhu, R Narayan, J Zhao
Journal of Computing in Civil Engineering 31 (4), 04017018, 2017
162017
Using Bayesian inference framework towards identifying gas species and concentration from high temperature resistive sensor array data
Y Liu, K Zhou, Y Lei
Journal of Sensors 2015 (1), 351940, 2015
152015
Development of sensor placement optimization tool and application to large-span cable-stayed bridge
ZY Wu, K Zhou, HW Shenton, MJ Chajes
Journal of Civil Structural Health Monitoring 9, 77-90, 2019
142019
Damage identification using piezoelectric electromechanical impedance: a brief review from a numerical framework perspective
P Cao, S Zhang, Z Wang, K Zhou
Structures 50, 1906-1921, 2023
132023
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