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Jinsong Yang
Jinsong Yang
Verified email at csu.edu.cn
Title
Cited by
Cited by
Year
A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating
J Yang, J He, X Guan, D Wang, H Chen, W Zhang, Y Liu
Mechanical Systems and Signal Processing 78, 118-133, 2016
1232016
Conditional GAN and 2-D CNN for bearing fault diagnosis with small samples
J Yang, J Liu, J Xie, C Wang, T Ding
IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021
1002021
A fatigue crack size evaluation method based on lamb wave simulation and limited experimental data
J He, Y Ran, B Liu, J Yang, X Guan
Sensors 17 (9), 2097, 2017
582017
A Lamb wave quantification model for inclined cracks with experimental validation
HE Jingjing, HUO Haode, G Xuefei, Y Jinsong
Chinese Journal of Aeronautics 34 (2), 601-611, 2021
442021
A model assessment method for predicting structural fatigue life using Lamb waves
D Wang, J He, X Guan, J Yang, W Zhang
Ultrasonics 84, 319-328, 2018
432018
Lamb wave damage quantification using GA-based LS-SVM
F Sun, N Wang, J He, X Guan, J Yang
Materials 10 (6), 648, 2017
412017
Remaining useful life prediction method for bearings based on LSTM with uncertainty quantification
J Yang, Y Peng, J Xie, P Wang
Sensors 22 (12), 4549, 2022
392022
A lithium-ion battery remaining useful life prediction method based on unscented particle filter and optimal combination strategy
J Yang, W Fang, J Chen, B Yao
Journal of Energy Storage 55, 105648, 2022
282022
Probabilistic model updating for sizing of hole-edge crack using fiber bragg grating sensors and the high-order extended finite element method
J He, J Yang, Y Wang, H Waisman, W Zhang
Sensors 16 (11), 1956, 2016
282016
A response reconstruction method based on empirical mode decomposition and modal synthesis method
J Yang, Z Fu, Y Zou, X He, X Wei, T Wang
Mechanical Systems and Signal Processing 184, 109716, 2023
162023
面向飞行器结构的健康监控技术研究现状
张卫方, 何晶靖, 阳劲松, 刘晓鹏, 张萌, 王翔宇
航空制造技术 60 (19), 38-47, 2017
122017
Defect detection inside a rail head by ultrasonic guided waves
J Xie, W Ding, W Zou, T Wang, J Yang
Symmetry 14 (12), 2566, 2022
112022
Research status on structural health monitoring technology for aircraft structures
W ZHANG, HE Jingjing, Y Jinsong
Aeronautical Manufacturing Technology 19, 38-47, 2017
112017
Multi-information fusion fault diagnosis of bogie bearing under small samples via unsupervised representation alignment deep Q-learning
Y Zhu, X Liang, T Wang, J Xie, J Yang
IEEE Transactions on Instrumentation and Measurement 72, 1-15, 2022
102022
Molecule dynamics simulation of the effect of oxidative aging on properties of nitrile rubber
J Yang, W Lou
Polymers 14 (2), 226, 2022
72022
Structural damage identification based on transmissibility in time domain
Y Zou, X Lu, J Yang, T Wang, X He
Sensors 22 (1), 393, 2022
62022
Deep Adversarial Hybrid Domain-Adaptation Network for varying working conditions fault diagnosis of high-speed train bogie
B Yang, T Wang, J Xie, J Yang
IEEE Transactions on Instrumentation and Measurement, 2023
52023
An efficient method for vibration equations with time varying coefficients and nonlinearities
J Yang, J Xie, G Chen, J Chen
Journal of Low Frequency Noise, Vibration and Active Control 40 (4), 1744-1763, 2021
52021
A mechanism-based automatic fault diagnosis method for gearboxes
L Xu, T Wang, J Xie, J Yang, G Gao
Sensors 22 (23), 9150, 2022
32022
Depth prototype clustering method based on unsupervised field alignment for bearing fault identification of mechanical equipment
Y Zhu, X Liang, T Wang, J Xie, J Yang
IEEE Transactions on Instrumentation and Measurement 71, 1-14, 2022
32022
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