| A data-level fusion model for developing composite health indices for degradation modeling and prognostic analysis K Liu, NZ Gebraeel, J Shi IEEE Transactions on Automation Science and Engineering 10 (3), 652-664, 2013 | 316 | 2013 |
| An obstructive sleep apnea detection approach using a discriminative hidden Markov model from ECG signals C Song, K Liu, X Zhang, L Chen, X Xian IEEE Transactions on Biomedical Engineering 63 (7), 1532-1542, 2015 | 231 | 2015 |
| Integration of data fusion methodology and degradation modeling process to improve prognostics K Liu, S Huang IEEE Transactions on Automation Science and Engineering 13 (1), 344-354, 2014 | 159 | 2014 |
| 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 | 141 | 2015 |
| Multiple sensor data fusion for degradation modeling and prognostics under multiple operational conditions H Yan, K Liu, X Zhang, J Shi IEEE Transactions on Reliability 65 (3), 1416-1426, 2016 | 105 | 2016 |
| An adaptive sampling strategy for online high-dimensional process monitoring K Liu, Y Mei, J Shi Technometrics 57 (3), 305-319, 2015 | 101 | 2015 |
| Integration of data-level fusion model and kernel methods for degradation modeling and prognostic analysis C Song, K Liu, X Zhang IEEE Transactions on Reliability 67 (2), 640-650, 2017 | 92 | 2017 |
| A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics M Kim, K Liu IISE Transactions 53 (3), 326-340, 2020 | 82 | 2020 |
| 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 | 81 | 2018 |
| Statistical degradation modeling and prognostics of multiple sensor signals via data fusion: A composite health index approach C Song, K Liu IISE Transactions 50 (10), 853-867, 2018 | 79 | 2018 |
| Sensory-based failure threshold estimation for remaining useful life prediction A Chehade, S Bonk, K Liu IEEE Transactions on Reliability 66 (3), 939-949, 2017 | 69 | 2017 |
| A generic health index approach for multisensor degradation modeling and sensor selection M Kim, C Song, K Liu IEEE Transactions on Automation Science and Engineering 16 (3), 1426-1437, 2019 | 59 | 2019 |
| A nonparametric adaptive sampling strategy for online monitoring of big data streams X Xian, A Wang, K Liu Technometrics 60 (1), 14-25, 2018 | 53 | 2018 |
| Adaptive sensor allocation strategy for process monitoring and diagnosis in a Bayesian network K Liu, X Zhang, J Shi IEEE Transactions on Automation Science and Engineering 11 (2), 452-462, 2013 | 51 | 2013 |
| A spatial-adaptive sampling procedure for online monitoring of big data streams A Wang, X Xian, F Tsung, K Liu Journal of Quality Technology 50 (4), 329-343, 2018 | 47 | 2018 |
| Objective-oriented optimal sensor allocation strategy for process monitoring and diagnosis by multivariate analysis in a Bayesian network K Liu, J Shi Iie Transactions 45 (6), 630-643, 2013 | 44 | 2013 |
| Adaptive preventive maintenance for flow shop scheduling with resumable processing H Ye, X Wang, K Liu IEEE Transactions on Automation Science and Engineering 18 (1), 106-113, 2020 | 41 | 2020 |
| A collaborative learning framework for estimating many individualized regression models in a heterogeneous population Y Lin, K Liu, E Byon, X Qian, S Liu, S Huang IEEE Transactions on Reliability 67 (1), 328-341, 2017 | 41 | 2017 |
| Controlling the residual life distribution of parallel unit systems through workload adjustment L Hao, K Liu, N Gebraeel, J Shi IEEE Transactions on Automation Science and Engineering 14 (2), 1042-1052, 2015 | 38 | 2015 |
| Multimode variation modeling and process monitoring for serial-parallel multistage manufacturing processes R Jin, K Liu Iie Transactions 45 (6), 617-629, 2013 | 35 | 2013 |
