Wheel flat can cause or exacerbate wheel polygonization Y Ye, D Shi, P Krause, Q Tian, M Hecht Vehicle System Dynamics, 2019 | 73 | 2019 |
Optimizing wheel profiles and suspensions for railway vehicles operating on specific lines to reduce wheel wear: a case study Y Ye, Y Sun, S Dongfang, D Shi, M Hecht Multibody system dynamics 51, 91-122, 2021 | 40 | 2021 |
MBSNet: A deep learning model for multibody dynamics simulation and its application to a vehicle-track system Y Ye, P Huang, Y Sun, D Shi Mechanical Systems and Signal Processing 157, 107716, 2021 | 37 | 2021 |
A wheel wear prediction model of non-Hertzian wheel-rail contact considering wheelset yaw: comparison between simulated and field test results Y Ye, Y Sun, D Shi, B Peng, M Hecht Wear 474, 203715, 2021 | 35 | 2021 |
A data-driven method for estimating wheel flat length Y Ye, D Shi, P Krause, M Hecht Vehicle System Dynamics, 2019 | 34 | 2019 |
Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations D Shi, Y Ye, M Gillwald, M Hecht International Journal of Rail Transportation 9 (4), 311-341, 2021 | 32 | 2021 |
Rotary-scaling fine-tuning (RSFT) method for optimizing railway wheel profiles and its application to a locomotive Y Ye, Y Qi, D Shi, Y Sun, Y Zhou, M Hecht Railway Engineering Science 28, 160-183, 2020 | 31 | 2020 |
Deep learning based virtual point tracking for real-time target-less dynamic displacement measurement in railway applications D Shi, E Šabanovič, L Rizzetto, V Skrickij, R Oliverio, N Kaviani, Y Ye, ... Mechanical Systems and Signal Processing 166, 108482, 2022 | 24 | 2022 |
Robustness enhancement of machine fault diagnostic models for railway applications through data augmentation D Shi, Y Ye, M Gillwald, M Hecht Mechanical Systems and Signal Processing 164, 108217, 2022 | 23 | 2022 |
Visual measurement system for wheel–rail lateral position evaluation V Skrickij, E Šabanovič, D Shi, S Ricci, L Rizzetto, G Bureika Sensors 21 (4), 1297, 2021 | 18 | 2021 |
Quantification of the influence of rolling stock failures on track deterioration Y Ye, D Shi, S Poveda-Reyes, M Hecht Journal of Zhejiang University-SCIENCE A 21 (10), 783-798, 2020 | 14 | 2020 |
Risk evaluation of failures of the running gear with effects on rail infrastructure S Poveda-Reyes, L Rizzetto, C Triti, D Shi, E García-Jiménez, GD Molero, ... Engineering Failure Analysis 128, 105613, 2021 | 11 | 2021 |
Innovative Monitoring and Predictive Maintenance Solutions on Lightweight Wagon C Ulianov, P Hyde, P Voltr, MMP INE, DV PER, S Bruni, A Polenghi, ... England, 2020 | 3 | 2020 |
Asset Adminstration Shell-based Flexible Manufacturing System Z Fan, D Shi, O Meyer, J Seidelmann, H Wang 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems …, 2023 | | 2023 |
Computer vision for hunting stability inspection of high-speed trains JZ Yunguang Ye, Hao Gao, Caihong Huang, Haoqian Li, Dachuan Shi, Huanyun Dai ... Measurement, 2023 | | 2023 |
Empirical Study on Robustness of Machine Learning Approaches for Fault Diagnosis under Railway Operational Conditions D Shi, Y Ye, M Gillwald, M Hecht 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | | 2020 |
Innovative monitoring and predictive maintenance solutions on lightweight wagon D Shi, L Cheng, R Marin-Perianu, M Marin | | 2016 |