State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture C Bian, H He, S Yang, T Huang Journal of Power Sources 449, 227558, 2020 | 104 | 2020 |
Review on testing of cyber physical systems: Methods and testbeds X Zhou, X Gou, T Huang, S Yang IEEE Access 6, 52179-52194, 2018 | 59 | 2018 |
Degradation state mining and identification for railway point machines C Bian, S Yang, T Huang, Q Xu, J Liu, E Zio Reliability Engineering & System Safety 188, 432-443, 2019 | 39 | 2019 |
Quality control for fused deposition modeling based additive manufacturing: Current research and future trends T Huang, S Wang, K He 2015 first international conference on reliability systems engineering …, 2015 | 37 | 2015 |
Reliability assessment and lifetime prediction of degradation processes considering recoverable shock damages T Huang, Y Zhao, DW Coit, LC Tang IISE transactions 53 (5), 614-628, 2021 | 30 | 2021 |
Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers T Huang, S Wang, S Yang, W Dai Journal of Intelligent Manufacturing 32, 2181-2196, 2021 | 27 | 2021 |
Optimal design for step-stress accelerated degradation testing based on D-optimality Z Ge, X Li, T Jiang, T Huang 2011 Proceedings-Annual Reliability and Maintainability Symposium, 1-6, 2011 | 26 | 2011 |
Degradation modeling and lifetime prediction considering effective shocks in a dynamic environment T Huang, B Peng, DW Coit, Z Yu IEEE Transactions on Reliability 68 (3), 819-830, 2019 | 19 | 2019 |
Tool condition monitoring in the milling process based on multisource pattern recognition model W Dai, K Liang, T Huang, Z Lu The International Journal of Advanced Manufacturing Technology 119 (3), 2099 …, 2022 | 13 | 2022 |
Prognostics of products using time series analysis based on degradation data T Huang, L Wang, T Jiang 2010 Prognostics and System Health Management Conference, 1-5, 2010 | 11 | 2010 |
Statistical process control for multistage processes with non-repeating cyclic profiles W Tian, R Jin, T Huang, JA Camelio IISE Transactions 49 (3), 320-331, 2017 | 10 | 2017 |
An ALT proportional hazard-proportional odds model T Huang, EA Elsayed, T Jiang The Proceedings of the 14th ISSAT International Conference on Reliability …, 2008 | 10 | 2008 |
Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data L Tan, T Huang, J Liu, Q Li, X Wu Computers & Industrial Engineering 176, 108887, 2023 | 9 | 2023 |
Fault diagnosis of rolling bearing based on empirical mode decomposition and convolutional recurrent neural network M Huang, T Huang, Y Zhao, W Dai IOP Conference Series: Materials Science and Engineering 1043 (4), 042015, 2021 | 6 | 2021 |
Ultimate tensile strength in fused deposition modeling considering process parameters of flow rate and printing head speed T Hou, T Huang, F Sun, S Wang 2018 12th International Conference on Reliability, Maintainability, and …, 2018 | 5 | 2018 |
Optimized differential evolution algorithm for software testing X Gou, T Huang, S Yang, M Su, F Zeng International Journal of Computational Intelligence Systems 12 (1), 215-226, 2018 | 5 | 2018 |
Summary of statistical acceleration model in accelerated life test [J] T Huang, T Jiang Equipment Environmental Engineering 7 (4), 57-62, 2010 | 5 | 2010 |
Precision retaining time prediction of machining equipment based on operating vibration information W Dai, J Sun, T Huang, Z Lu, L Zhu IEEE Access 8, 144156-144166, 2020 | 4 | 2020 |
Anti-aging analysis for software reliability design modes in the context of single-event effect Q Shao, X Gou, T Huang, S Yang Software Quality Journal 28, 221-243, 2020 | 4 | 2020 |
Degradation detection method for railway point machines C Bian, S Yang, T Huang, Q Xu, J Liu, E Zio arXiv preprint arXiv:1809.02349, 2018 | 4 | 2018 |