| Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks N Zhang, W Si Reliability Engineering & System Safety 203, 107094, 2020 | 96 | 2020 |
| Reliability analysis considering dynamic material local deformation W Si, Q Yang, X Wu, Y Chen Journal of Quality Technology 50 (2), 183-197, 2018 | 22 | 2018 |
| Two-state optimal maintenance planning of repairable systems with covariate effects W Si, E Love, Q Yang Computers & Operations Research 92, 17-25, 2018 | 18 | 2018 |
| A generalized mixed effect kijima model and application in optimal maintenance planning W Si, Q Yang IEEE Transactions on Reliability 65 (3), 1551-1561, 2016 | 18 | 2016 |
| A physical–statistical model of overload retardation for crack propagation and application in reliability estimation W Si, Q Yang, X Wu IISE Transactions 48 (4), 347-358, 2016 | 16 | 2016 |
| Reliability analysis of repairable systems with incomplete failure time data W Si, Q Yang, L Monplaisir, Y Chen IEEE Transactions on Reliability 67 (3), 1043-1059, 2018 | 15 | 2018 |
| A new mixture cure model under competing risks to score online consumer loans N Zhang, Q Yang, A Kelleher, W Si Quantitative Finance 19 (7), 1243-1253, 2019 | 14 | 2019 |
| Material degradation modeling and failure prediction using microstructure images W Si, Q Yang, X Wu Technometrics 61 (2), 246-258, 2019 | 14 | 2019 |
| Accelerated life testing with semiparametric modeling of stress effects W Si, Q Yang IEEE Transactions on Reliability 66 (4), 989-996, 2017 | 13 | 2017 |
| Accelerated degradation testing with long-term memory effects W Si, Y Shao, W Wei IEEE Transactions on Reliability 69 (4), 1254-1266, 2020 | 12 | 2020 |
| A distribution-based functional linear model for reliability analysis of advanced high-strength dual-phase steels by utilizing material microstructure images W Si, Q Yang, X Wu IISE Transactions 49 (9), 863-873, 2017 | 11 | 2017 |
| Degradation modeling with long-term memory considering measurement errors Y Shao, W Si IEEE Transactions on Reliability 72 (1), 177-189, 2021 | 4 | 2021 |
| Multivariable degradation modeling and life prediction using multivariate fractional Brownian motion A Asgari, W Si, L Yuan, K Krishnan, W Wei Reliability Engineering & System Safety, 110146, 2024 | | 2024 |
| A Bayesian Approach for Lifetime Modeling and Prediction with Multi-Type Group-Shared Missing Covariates H Zeng, X Sun, K Wang, Y Wen, W Si, M Li Mathematics 12 (5), 740, 2024 | | 2024 |
| Statistical monitoring using 3D composite structure information Y Shao, W Si IISE Annual Conference and Expo, 2023 | | 2023 |
| Spatial modeling and monitoring considering long-range dependence Y Shao, W Si, Y Chen Journal of Quality Technology, 2023 | | 2023 |
| A deep reinforcement learning approach for condition-based maintenance of multi-component systems considering production schedules W Si, N Zhang, Q Yang under review, 2022 | | 2022 |
| Probability of overlap WA Jensen, W Si Quality Engineering 32 (2), 260-261, 2020 | | 2020 |
| Reliability analysis by considering steel physical properties W Si Wayne State University, PhD dissertation, 2018 | | 2018 |
Qingyu YangAssociate Professor of Wayne State UniversityVerified email at wayne.edu
