| A dual-LSTM framework combining change point detection and remaining useful life prediction Z Shi, A Chehade Reliability Engineering & System Safety 205, 107257, 2021 | 221 | 2021 |
| Optimize the signal quality of the composite health index via data fusion for degradation modeling and prognostic analysis K Liu, A Chehade, C Song IEEE Transactions on Automation Science and Engineering 14 (3), 1504-1514, 2015 | 130 | 2015 |
| A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes A Chehade, C Song, K Liu, A Saxena, X Zhang Journal of Quality Technology 50 (2), 150-165, 2018 | 78 | 2018 |
| Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction A Chehade, S Bonk, K Liu IEEE Transactions on Reliability, 1-11, 2017 | 65 | 2017 |
| A controllable deep transfer learning network with multiple domain adaptation for battery state-of-charge estimation I Oyewole, A Chehade, Y Kim Applied Energy 312, 118726, 2022 | 56 | 2022 |
| 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 |
| A collaborative Gaussian process regression model for transfer learning of capacity trends between li-ion battery cells AA Chehade, AA Hussein IEEE Transactions on Vehicular Technology 69 (9), 9542-9552, 2020 | 42 | 2020 |
| Robust artificial neural network-based models for accurate surface temperature estimation of batteries AA Hussein, AA Chehade IEEE Transactions on Industry Applications 56 (5), 5269-5278, 2020 | 38 | 2020 |
| Control Theoretical Modeling of Transient Behavior of Production Planning and Control: A Review N Duffie, A Chehade, A Athavale Proc. of 44th CIRP Conf. on Mfg. Sys., Windsor, ON, 2014 | 37 | 2014 |
| Dynamics of autonomously acting products and work systems in production and assembly O Jeken, N Duffie, K Windt, H Blunck, A Chehade, H Rekersbrink CIRP Journal of Manufacturing Science and Technology 5 (4), 267-275, 2012 | 25 | 2012 |
| A multioutput convolved Gaussian process for capacity forecasting of li-ion battery cells AA Chehade, AA Hussein IEEE Transactions on Power Electronics 37 (1), 896-909, 2021 | 24 | 2021 |
| Conditional Gaussian mixture model for warranty claims forecasting A Chehade, M Savargaonkar, V Krivtsov Reliability Engineering & System Safety 218, 108180, 2022 | 21 | 2022 |
| Structural degradation modeling framework for sparse data sets with an application on Alzheimer’s disease A Chehade, K Liu IEEE Transactions on Automation Science and Engineering 16 (1), 192-205, 2018 | 20 | 2018 |
| An adaptive deep neural network with transfer learning for state-of-charge estimations of battery cells M Savargaonkar, A Chehade 2020 IEEE Transportation Electrification Conference & Expo (ITEC), 598-602, 2020 | 17 | 2020 |
| A multi-output convolved Gaussian process model for capacity estimation of electric vehicle li-ion battery cells AA Chehade, AA Hussein 2019 IEEE Transportation Electrification Conference and Expo (ITEC), 1-4, 2019 | 14 | 2019 |
| 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 |
| Optimal dynamic behavior of adaptive WIP regulation with multiple modes of capacity adjustment A Chehade, N Duffie Procedia CIRP 19, 168-173, 2014 | 12 | 2014 |
| Uncorrelated sparse autoencoder with long short-term memory for state-of-charge estimations in lithium-ion battery cells M Savargaonkar, I Oyewole, A Chehade, AA Hussein IEEE Transactions on Automation Science and Engineering, 2022 | 11 | 2022 |
| A novel neural network with gaussian process feedback for modeling the state-of-charge of battery cells M Savargaonkar, A Chehade, AA Hussein IEEE Transactions on Industry Applications 58 (4), 5340-5352, 2022 | 9 | 2022 |
Zunya ShiUniversity of Michigan DearbornVerified email at umich.edu
