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Yongkui Sun
Yongkui Sun
Verified email at bjtu.edu.cn
Title
Cited by
Cited by
Year
Fault diagnosis of train plug door based on a hybrid criterion for IMFs selection and fractional wavelet package energy entropy
Y Cao, Y Sun, G Xie, T Wen
IEEE Transactions on Vehicular Technology 68 (8), 7544-7551, 2019
1932019
A sound-based fault diagnosis method for railway point machines based on two-stage feature selection strategy and ensemble classifier
Y Cao, Y Sun, G Xie, P Li
IEEE Transactions on Intelligent Transportation Systems 23 (8), 12074-12083, 2021
1612021
Sound Based Fault Diagnosis for RPMs Based on Multi-Scale Fractional Permutation Entropy and Two-Scale Algorithm
Y Sun, Y Cao, G Xie, T Wen
IEEE Transactions on Vehicular Technology 70 (11), 11184-11192, 2021
882021
Contactless fault diagnosis for railway point machines based on multi-scale fractional wavelet packet energy entropy and synchronous optimization strategy
Y Sun, Y Cao, P Li
IEEE Transactions on Vehicular Technology 71 (6), 5906-5914, 2022
822022
A statistical study of railway safety in China and Japan 1990–2020
Y Cao, Y An, S Su, G Xie, Y Sun
Accident Analysis & Prevention 175, 106764, 2022
772022
The fault diagnosis of a switch machine based on deep random forest fusion
Y Cao, Y Ji, Y Sun, S Su
IEEE Intelligent Transportation Systems Magazine 15 (1), 437-452, 2022
732022
A Fault Diagnosis Method for Train Plug Doors via Sound Signals
Y Sun, Y Cao, L Ma
IEEE Intelligent Transportation Systems Magazine 13 (3), 107-117, 2021
722021
Railway automatic switch stationary contacts wear detection under few-shot occasions
X Hu, Y Cao, Y Sun, T Tang
IEEE transactions on intelligent transportation systems 23 (9), 14893-14907, 2021
492021
Fault diagnosis for train plug door using weighted fractional wavelet packet decomposition energy entropy
Y Sun, Y Cao, P Li
Accident Analysis & Prevention 166, 106549, 2022
472022
Data-driven technology of fault diagnosis in railway point machines: Review and challenges
X Hu, Y Cao, T Tang, Y Sun
Transportation Safety and Environment 4 (4), tdac036, 2022
352022
Condition monitoring for railway point machines based on sound analysis and support vector machine
Y Sun, Y Cao, G Xie, T Wen
Chinese Journal of Electronics 29 (4), 786-792, 2020
312020
Strategy for fault diagnosis on train plug doors using audio sensors
Y Sun, G Xie, Y Cao, T Wen
Sensors 19 (1), 3, 2018
292018
A hybrid method for life prediction of railway relays based on multi-layer decomposition and RBFNN
Y Sun, Y Cao, M Zhou, T Wen, P Li, C Roberts
IEEE Access 7, 44761-44770, 2019
282019
A novel life prediction method for railway safety relays using degradation parameters
Y Sun, Y Cao, Y Zhang, C Xu
IEEE Intelligent Transportation Systems Magazine 10 (3), 48-56, 2018
232018
Vibration-based fault diagnosis for railway point machines using multi-domain features, ensemble feature selection and SVM
Y Cao, Y Sun, P Li, S Su
IEEE Transactions on Vehicular Technology, 2023
182023
Predictive maintenance for switch machine based on digital twins
J Yang, Y Sun, Y Cao, X Hu
Information 12 (11), 485, 2021
182021
Entropy feature fusion-based diagnosis for railway point machines using vibration signals based on kernel principal component analysis and support vector machine
Y Sun, Y Cao, P Li, S Su
IEEE Intelligent Transportation Systems Magazine, 2023
132023
Is the safety index of modern safety integrity level (SIL) truly appropriate for the railway?
Y Cao, Y An, S Su, Y Sun
Accident Analysis & Prevention 192, 107267, 2023
122023
Condition monitoring and fault diagnosis strategy of railway point machines using vibration signals
Y Sun, Y Cao, H Liu, W Yang, S Su
Transportation Safety and Environment 5 (2), tdac048, 2023
122023
Rail fastener detection of heavy railway based on deep learning
Y Cao, Z Chen, T Wen, C Roberts, Y Sun, S Su
High-speed Railway 1 (1), 63-69, 2023
122023
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