A novel statistical time-frequency analysis for rotating machine condition monitoring T Wang, G Lu, P Yan IEEE Transactions on Industrial Electronics 67 (1), 531-541, 2019 | 89 | 2019 |
Temporal-spatio graph based spectrum analysis for bearing fault detection and diagnosis T Wang, Z Liu, G Lu, J Liu IEEE Transactions on Industrial Electronics 68 (3), 2598-2607, 2020 | 79 | 2020 |
Multiple-order graphical deep extreme learning machine for unsupervised fault diagnosis of rolling bearing X Zhao, M Jia, J Bin, T Wang, Z Liu IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 54 | 2020 |
Graph-based change detection for condition monitoring of rotating machines: Techniques for graph similarity T Wang, G Lu, J Liu, P Yan IEEE Transactions on Reliability 68 (3), 1034-1049, 2018 | 45 | 2018 |
A probabilistic framework for remaining useful life prediction of bearings T Wang, Z Liu, N Mrad IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 43 | 2020 |
Multi-sensors based condition monitoring of rotary machines: An approach of multidimensional time-series analysis T Wang, G Lu, P Yan Measurement 134, 326-335, 2019 | 42 | 2019 |
An adaptive deep learning framework for shipping container code localization and recognition R Zhang, Z Bahrami, T Wang, Z Liu IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2020 | 35 | 2020 |
Data modeling techniques for pipeline integrity assessment: A state-of-the-art survey J Ling, K Feng, T Wang, M Liao, C Yang, Z Liu IEEE Transactions on Instrumentation and Measurement 72, 1-17, 2023 | 22 | 2023 |
Digital twin and its application for the maintenance of aircraft T Wang, Z Liu Handbook of nondestructive evaluation 4.0, 1-19, 2021 | 22 | 2021 |
Probabilistic analysis for remaining useful life prediction and reliability assessment T Wang, Z Liu, M Liao, N Mrad, G Lu IEEE Transactions on Reliability 71 (3), 1207-1218, 2020 | 18 | 2020 |
Life prediction for aircraft structure based on Bayesian inference: towards a digital twin ecosystem T Wang, Z Liu, M Liao, N Mrad Annual Conference of the PHM Society 12 (1), 8-8, 2020 | 16 | 2020 |
An end-to-end framework for shipping container corrosion defect inspection Z Bahrami, R Zhang, T Wang, Z Liu IEEE Transactions on Instrumentation and Measurement 71, 1-14, 2022 | 15 | 2022 |
Pipeline condition monitoring towards digital twin system: A case study T Wang, K Feng, J Ling, M Liao, C Yang, R Neubeck, Z Liu Journal of Manufacturing Systems 73, 256-274, 2024 | 14 | 2024 |
Probabilistic method for fatigue crack growth prediction with hybrid prior T Wang, J Bin, G Renaud, M Liao, G Lu, Z Liu International Journal of Fatigue 157, 106686, 2022 | 11 | 2022 |
Adaptive change detection for long-term machinery monitoring using incremental sliding-window T Wang, GL Lu, J Liu, P Yan Chinese Journal of Mechanical Engineering 30, 1338-1346, 2017 | 11 | 2017 |
Optimized deep neural network architectures with anchor box optimization for shipping container corrosion inspection Z Bahrami, R Zhang, R Rayhana, T Wang, Z Liu 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1328-1333, 2020 | 10 | 2020 |
A probabilistic model for fatigue crack growth prediction based on closed-form solution T Wang, Z Bahrami, G Renaud, C Yang, M Liao, Z Liu Structures 44, 1583-1596, 2022 | 6 | 2022 |
Unsupervised fault diagnosis of machine via multiple-order graphical deep extreme learning machine X Zhao, Z Liu, T Wang, J Bin, M Jia 2020 Asia-Pacific International Symposium on Advanced Reliability and …, 2020 | 5 | 2020 |
Environment prediction to enhance the navigation system of water pipeline inspection platforms R Rayhana, Z Bahrami, T Wang, Z Liu, A Wu, X Kong 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), 1-6, 2021 | 4 | 2021 |
UAVs and birds classification using robust coordinate attention synergy residual split-attention network based on micro-Doppler signature measurement by using L-band staring radar T Dai, L Mei, Y Zhang, B Tian, R Guo, T Wang, S Du, S Xu Measurement 222, 113692, 2023 | 3 | 2023 |