Remaining useful life prediction based on a multi-sensor data fusion model N Li, N Gebraeel, Y Lei, X Fang, X Cai, T Yan Reliability Engineering & System Safety 208, 107249, 2021 | 106 | 2021 |
Multistream sensor fusion-based prognostics model for systems with single failure modes X Fang, K Paynabar, N Gebraeel Reliability Engineering & System Safety 159, 322-331, 2017 | 92 | 2017 |
Distributionally robust optimization: A review on theory and applications F Lin, X Fang, Z Gao Numerical Algebra, Control and Optimization 12 (1), 159-212, 2022 | 82 | 2022 |
Lease-oriented opportunistic maintenance for multi-unit leased systems under product-service paradigm T Xia, L Xi, E Pan, X Fang, N Gebraeel Journal of Manufacturing Science and Engineering 139 (7), 071005, 2017 | 59 | 2017 |
An adaptive functional regression-based prognostic model for applications with missing data X Fang, R Zhou, N Gebraeel Reliability Engineering & System Safety 133, 266-274, 2015 | 58 | 2015 |
Online analytics framework of sensor-driven prognosis and opportunistic maintenance for mass customization T Xia, X Fang, N Gebraeel, L Xi, E Pan Journal of Manufacturing Science and Engineering 141 (5), 051011, 2019 | 52 | 2019 |
Scalable prognostic models for large-scale condition monitoring applications X Fang, NZ Gebraeel, K Paynabar IISE Transactions 49 (7), 698-710, 2017 | 45 | 2017 |
Image-based prognostics using penalized tensor regression X Fang, K Paynabar, N Gebraeel Technometrics 61 (3), 369-384, 2019 | 44 | 2019 |
Adversarial regressive domain adaptation approach for infrared thermography-based unsupervised remaining useful life prediction Y Jiang, T Xia, D Wang, X Fang, L Xi IEEE Transactions on Industrial Informatics 18 (10), 7219-7229, 2022 | 38 | 2022 |
Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures Y Dong, T Xia, X Fang, Z Zhang, L Xi Computers & Industrial Engineering 133, 57-68, 2019 | 34 | 2019 |
Integrated remanufacturing and opportunistic maintenance decision-making for leased batch production lines T Xia, K Zhang, B Sun, X Fang, L Xi Journal of Manufacturing Science and Engineering 143 (8), 081003, 2021 | 20 | 2021 |
Infrared image stream based regressors for contactless machine prognostics Y Dong, T Xia, D Wang, X Fang, L Xi Mechanical Systems and Signal Processing 154, 107592, 2021 | 17 | 2021 |
Multi-sensor prognostics modeling for applications with highly incomplete signals X Fang, H Yan, N Gebraeel, K Paynabar IISE Transactions 53 (5), 597-613, 2021 | 15 | 2021 |
Spatiotemporal denoising wavelet network for infrared thermography-based machine prognostics integrating ensemble uncertainty Y Jiang, T Xia, D Wang, X Fang, L Xi Mechanical Systems and Signal Processing 173, 109014, 2022 | 14 | 2022 |
Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process Q Qian, X Fang, J Xu, M Li Journal of MAnufacturing Systems 61, 375-390, 2021 | 11 | 2021 |
Sparse hierarchical parallel residual networks ensemble for infrared image stream-based remaining useful life prediction Y Jiang, T Xia, X Fang, D Wang, E Pan, L Xi IEEE Transactions on Industrial Informatics 19 (10), 10613-10623, 2023 | 6 | 2023 |
A supervised tensor dimension reduction-based prognostic model for applications with incomplete imaging data C Zhou, X Fang INFORMS Journal on Data Science 3 (1), 84-104, 2024 | 5 | 2024 |
Two-dimensional variable selection and its applications in the diagnostics of product quality defects C Jeong, X Fang IISE Transactions 54 (7), 619-629, 2022 | 5 | 2022 |
Federated multilinear principal component analysis with applications in prognostics C Zhou, Y Su, T Xia, X Fang arXiv preprint arXiv:2312.06050, 2023 | 3 | 2023 |
A convex two-dimensional variable selection method for the root-cause diagnostics of product defects C Zhou, X Fang Reliability Engineering & System Safety 229, 108827, 2023 | 2 | 2023 |