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Shen Junxian
Shen Junxian
在 seu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing
J Gai, J Shen, Y Hu, H Wang
Measurement 162, 107901, 2020
1502020
Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm
J Gai, K Zhong, X Du, K Yan, J Shen
Measurement 185, 110079, 2021
782021
An adaptive optimized TVF-EMD based on a sparsity-impact measure index for bearing incipient fault diagnosis
X Ye, Y Hu, J Shen, C Chen, G Zhai
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020
672020
An improved empirical mode decomposition based on adaptive weighted rational quartic spline for rolling bearing fault diagnosis
X Ye, Y Hu, J Shen, R Feng, G Zhai
IEEE Access 8, 123813-123827, 2020
362020
Method of fault feature selection and fusion based on poll mode and optimized weighted KPCA for bearings
J Shen, F Xu
Measurement 194, 110950, 2022
352022
A Parameter‐Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox
J Gai, J Shen, H Wang, Y Hu
Shock and Vibration 2020 (1), 4294095, 2020
342020
Dynamic evaluation indices in spatial learning and memory of rat vascular dementia in the Morris water maze
Z Yuan, H Zhou, N Zhou, D Dong, Y Chu, J Shen, Y Han, XP Chu, K Zhu
Scientific Reports 9 (1), 7224, 2019
222019
Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance
T Ma, D Song, J Shen, F Xu
Structural Health Monitoring 22 (2), 1478-1493, 2023
142023
A Bearing Performance Degradation Modeling Method Based on EMD‐SVD and Fuzzy Neural Network
J Gai, Y Hu, J Shen
Shock and Vibration 2019 (1), 5738465, 2019
132019
Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism
D Song, J Shen, T Ma, F Xu
Structural Health Monitoring 22 (3), 1911-1926, 2023
122023
Multi-objective acoustic sensor placement optimization for crack detection of compressor blade based on reinforcement learning
D Song, J Shen, T Ma, F Xu
Mechanical Systems and Signal Processing 197, 110350, 2023
102023
A vibro-acoustic signals hybrid fusion model for blade crack detection
T Ma, J Shen, D Song, F Xu
Mechanical Systems and Signal Processing 204, 110815, 2023
82023
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion
J Shen, D Song, T Ma, F Xu
Structural Health Monitoring 22 (5), 3498-3513, 2023
82023
Unsaturated piecewise bistable stochastic resonance with three kinds of asymmetries driven by multiplicative and additive noise
T Ma, J Shen, D Song, F Xu
Chaos, Solitons & Fractals 162, 112457, 2022
82022
Unsaturated piecewise bistable stochastic resonance with three kinds of asymmetries and time-delayed feedback
T Ma, D Song, J Shen, F Xu
Chaos, Solitons & Fractals 161, 112352, 2022
62022
Incremental learning BiLSTM based on dynamic proportional adjustment mechanism and experience replay for quantitative detection of blade crack propagation
J Shen, T Ma, D Song, F Xu
Structural Health Monitoring 23 (2), 733-749, 2024
52024
Multiobjective-based acoustic sensor configuration for structural health monitoring of compressor blade
D Song, T Ma, J Shen, F Xu
IEEE Sensors Journal 23 (13), 14737-14745, 2023
52023
Incremental learning-based quantitative crack detection using prioritized experience replaying and layered importance sampling
D Song, T Ma, J Shen, F Xu
IEEE Sensors Journal, 2024
22024
Multi-sensor and multi-level information fusion model for compressor blade crack detection
T Ma, J Shen, D Song, F Xu
Measurement 222, 113622, 2023
22023
Quantitative Detection of Blade Crack Damage Based on Vibro-Acoustic Information and Multi-Dimensional Feature Fusion CNN
J Shen, D Song, T Ma, F Xu
2022 Global Reliability and Prognostics and Health Management (PHM-Yantai), 1-6, 2022
22022
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