A dual-LSTM framework combining change point detection and remaining useful life prediction Z Shi, A Chehade Reliability Engineering & System Safety 205, 107257, 2021 | 225 | 2021 |
Sensor fusion via statistical hypothesis testing for prognosis and degradation analysis A Chehade, Z Shi IEEE Transactions on Automation Science and Engineering 16 (4), 1774-1787, 2019 | 49 | 2019 |
Reverse revenue sharing contract versus two-part tariff contract under a closed-loop supply chain system Z Shi, N Wang, T Jia, H Chen Mathematical Problems in Engineering 2016, 2016 | 36 | 2016 |
A long short-term memory network for online state-of-charge estimation of li-ion battery cells Z Shi, M Savargaonkar, AA Chehade, AA Hussein 2020 IEEE Transportation Electrification Conference & Expo (ITEC), 594-597, 2020 | 12 | 2020 |
A cycle-based recurrent neural network for state-of-charge estimation of li-ion battery cells M Savargaonkar, A Chehade, Z Shi, AA Hussein 2020 IEEE Transportation Electrification Conference & Expo (ITEC), 584-587, 2020 | 12 | 2020 |
Power–law nonhomogeneous Poisson process with a mixture of latent common shape parameters A Chehade, Z Shi, V Krivtsov Reliability Engineering & System Safety 203, 107097, 2020 | 5 | 2020 |
Deep Learning Approaches for Condition Monitoring and Prognostic Analysis Z Shi | | 2021 |
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion A Chehade, Z Shi arXiv preprint arXiv:1910.02155, 2019 | | 2019 |