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 | 150 | 2020 |
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 | 78 | 2021 |
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 | 67 | 2020 |
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 | 36 | 2020 |
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 | 35 | 2022 |
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 | 34 | 2020 |
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 | 22 | 2019 |
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 | 14 | 2023 |
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 | 13 | 2019 |
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 | 12 | 2023 |
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 | 10 | 2023 |
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 | 8 | 2023 |
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 | 8 | 2023 |
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 | 8 | 2022 |
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 | 6 | 2022 |
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 | 5 | 2024 |
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 | 5 | 2023 |
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 | 2 | 2024 |
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 | 2 | 2023 |
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 | 2 | 2022 |