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Jianfeng Sun
Jianfeng Sun
西南交通大学
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Year
Experimental and numerical study on carbody hunting of electric locomotive induced by low wheel–rail contact conicity
J Sun, M Chi, X Jin, S Liang, J Wang, W Li
Vehicle System Dynamics 59 (2), 203-223, 2021
532021
A long-term tracking test of high-speed train with wheel polygonal wear
W Cai, M Chi, X Wu, J Sun, Y Zhou, Z Wen, S Liang
Vehicle System Dynamics 59 (11), 1735-1758, 2021
402021
A signal analysis based hunting instability detection methodology for high-speed railway vehicles
J Sun, E Meli, W Cai, H Gao, M Chi, A Rindi, S Liang
Vehicle System Dynamics 59 (10), 1461-1483, 2021
332021
Numerical investigation into the critical speed and frequency of the hunting motion in railway vehicle system
J Sun, M Chi, W Cai, X Jin
Mathematical Problems in Engineering 2019, 2019
242019
Hunting motion stability of wheelset based on energy method
SUN Jian-feng, CHI Mao-ru, WU Xing-wen, L Shu-lin, LI Wei
交通运输工程学报 18 (2), 82-89, 2018
192018
An investigation into the influence of wheel–rail contact relationships on the carbody hunting stability of an electric locomotive
W Li, Q Guan, M Chi, Z Wen, J Sun
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2022
142022
An investigation into evaluation methods for ride comfort of railway vehicles in the case of carbody hunting instability
J Sun, M Chi, W Cai, H Gao, S Liang
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2021
142021
A novel measuring system for high-speed railway vehicles hunting monitoring able to predict wheelset motion and wheel/rail contact characteristics
J Sun, E Meli, X Song, M Chi, W Jiao, Y Jiang
Vehicle System Dynamics 61 (6), 1621-1643, 2023
132023
An investigation into the modeling methodology of the coil spring
L Dai, M Chi, H Gao, J Sun
Shock and Vibration 2020, 2020
122020
A physical model-neural network coupled modelling methodology of the hydraulic damper for railway vehicles
L Dai, M Chi, Z Guo, H Gao, X Wu, J Sun, S Liang
Vehicle System Dynamics 61 (2), 616-637, 2023
112023
A hybrid neural network model based modelling methodology for the rubber bushing
L Dai, M Chi, C Xu, H Gao, J Sun, X Wu, S Liang
Vehicle System Dynamics 60 (9), 2941-2962, 2022
92022
Modal parameters-based hunting stability analysis of high-speed railway vehicles considering full range of equivalent conicity
J Sun, M Chi, W Jiao, Y Jiang, G Li, JZ Shi
Proceedings of the Institution of Mechanical Engineers, Part K: Journal of …, 2022
92022
Influences of rail grinding deviations on vehicle dynamics performances of high speed railways
M CHI, W CAI, S LIANG, Y LI, J SUN, X JIN, X HE
China Mechanical Engineering 30 (03), 261, 2019
52019
Experimental and numerical research on the bogie hunting of a high-speed train caused by the empty stroke of yaw damper
Z Guo, M Chi, J Sun, Y Li, L Dai
Vehicle System Dynamics 62 (7), 1637-1657, 2024
22024
Cross-Conditions Fault Diagnosis of Rolling Bearings Based on Dual Domain Adversarial Network
Y Jiang, Z Shi, C Tang, J Sun, L Zheng, Z Qiu, Y He, G Li
IEEE Transactions on Instrumentation and Measurement, 2023
22023
Efficient fault detection of rotor minor inter-turn short circuit in induction machines using wavelet transform and empirical mode decomposition
AU Rehman, W Jiao, J Sun, M Sohaib, Y Jiang, M Shahzadi, MI Khan
Sensors 23 (16), 7109, 2023
22023
Hunting frequency variation mechanism and its effect on carbody hunting stability for railway vehicles
J Sun, W Jiao, Y Jiang, C Tang, A Ur Rehman, E Shiju
Acta Mechanica Sinica 39 (8), 523046, 2023
22023
An anti-disturbance method for on-board detection of early wheel polygonal wear by weighted angle-synchronous moving average
W Xu, M Chi, W Cai, G Tao, J Sun, Y Zhou, S Liang
Measurement 216, 112999, 2023
22023
A Novel Rolling Bearing Fault Diagnosis Method Based on MFO-Optimized VMD and DE-OSELM
Y Jiang, Z Shi, C Tang, J Wei, C Xu, J Sun, L Zheng, M Hu
Applied Sciences 13 (13), 7500, 2023
22023
LSTM-based Node-Gated Graph Neural Network for Cross-condition Few-shot Bearing Fault Diagnosis
Y Jiang, L Zheng, C Tang, J Sun, Z Shi, J Xu, X Ji, J Yu
IEEE Sensors Journal, 2024
12024
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