Double Gaussian potential stochastic resonance method and its application in centrifugal fan blade crack detection T Ma, F Xu, J Hu, D Song, S Cao Chinese Journal of Physics 74, 279-295, 2021 | 24 | 2021 |
Data and decision level fusion-based crack detection for compressor blade using acoustic and vibration signal D Song, T Ma, Y Li, F Xu IEEE Sensors Journal 22 (12), 12209-12218, 2022 | 23 | 2022 |
Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection D Song, F Xu, T Ma Structural Health Monitoring 21 (6), 2641-2656, 2022 | 18 | 2022 |
A novel mechanical design of disc brakes for fault diagnosis and monitoring positive braking pressure in mine hoist G Xu, D Song, D Zhang, X Zhang, S Sha Advances in Mechanical Engineering 11 (4), 1687814019842494, 2019 | 15 | 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 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 | 13 | 2023 |
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 | 13 | 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 | 12 | 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 | 9 | 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 |
Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonance D Song, F Xu, J Hu, T Ma Structural Health Monitoring 22 (1), 131-150, 2023 | 6 | 2023 |
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 |
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 | 5 | 2023 |
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 |
Research on dynamic characteristics and compensation of wire rope tension and load measurement based on hydraulic connection device D Song, GY Xu, GY Lei, XG Zhang, BL Tian Shock and Vibration 2019 (1), 3809242, 2019 | 4 | 2019 |
A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal P Ding, D Song, J Shen, X Zhao, M Jia Structural Health Monitoring, 14759217231222002, 2024 | 3 | 2024 |
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 |
A novel blade crack detection method based on diffusion model with acoustic-vibration fusion X Zhao, F Xu, D Song, J Shen, T Ma 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 1-7, 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 |