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Jianguo Wu
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Cited by
Year
Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity
Y Wen, J Wu*, D Das, TLB Tseng
Reliability Engineering & System Safety 176, 113-124, 2018
1212018
A neural network-based joint prognostic model for data fusion and remaining useful life prediction
Y Gao, Y Wen, J Wu
IEEE transactions on neural networks and learning systems 32 (1), 117-127, 2020
562020
A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis
X Song, M Shi, J Wu, W Sun
Mechanical Systems and Signal Processing 133, 106279, 2019
552019
Multiple Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction
Y Wen, J Wu*, Y Yuan
IEEE Transactions on Reliability, 2017
542017
Online Steady-state Detection for Process Control Using Multiple Change-point Models and Particle Filters
J Wu, Y Chen, S Zhou*, X Li
IEEE Transactions on Automation Science and Engineering, 2015
442015
A shape-constrained neural data fusion network for health index construction and residual life prediction
Z Li, J Wu, X Yue
IEEE Transactions on Neural Networks and Learning Systems 32 (11), 5022-5033, 2020
422020
Multiple-change-point modeling and exact Bayesian inference of degradation signal for prognostic improvement
Y Wen, J Wu, Q Zhou, TL Tseng
IEEE Transactions on Automation Science and Engineering 16 (2), 613-628, 2018
382018
Acoustic Emission Monitoring for Ultrasonic Cavitation Based Dispersion Process
J Wu, S Zhou*, X Li
ASME Transactions, Journal of Manufacturing Science and Engineering 135 (3 …, 2013
372013
Spatial rank-based high-dimensional monitoring through random projection
C Zhang, N Chen, J Wu
Journal of Quality Technology 52 (2), 111-127, 2020
292020
Friction, slip and structural inhomogeneity of the buried interface
Y Dong, Q Li, J Wu, A Martini*
Modelling and Simulation in Materials Science and Engineering 19 (6), 065003, 2011
292011
Ultrasonic Attenuation Based Inspection Method for Scale-up Production of A206–Al2O3 Metal Matrix Nanocomposites
J Wu, S Zhou*, X Li
ASME Transactions, Journal of Manufacturing Science and Engineering 137 (1 …, 2015
252015
Online detection of steady-state operation using a multiple-change-point model and exact Bayesian inference
J Wu, Y Chen, S Zhou*
IIE Transactions, 2015
232015
Neural network Gaussian process considering input uncertainty for composite structure assembly
C Lee, J Wu, W Wang, X Yue
IEEE/ASME Transactions on Mechatronics 27 (3), 1267-1277, 2020
172020
Partitioned active learning for heterogeneous systems
C Lee, K Wang, J Wu, W Cai, X Yue
Transactions of ASME, Journal of Computing and Information Science in …, 2023
152023
Failure-averse active learning for physics-constrained systems
C Lee, X Wang, J Wu, X Yue
IEEE Transactions on Automation Science and Engineering 20 (4), 2215-2226, 2022
142022
A genetic programming-based iterative approach for the integrated process planning and scheduling problem
X Zhu, X Guo, W Wang, J Wu
IEEE Transactions on Automation Science and Engineering 19 (3), 2566-2580, 2021
142021
Bayesian Hierarchical Linear Modeling of Profile Data With Applications to Quality Control of Nanomanufacturing
J Wu*, Y Liu, S Zhou
IEEE Transactions on Automation Science and Engineering, 2016
142016
Microstructure Modelling and Ultrasonic Wave Propagation Simulation of A206-Al2O3 Metal Matrix Nanocomposites for Quality Inspection
Y Liu, J Wu, S Zhou*, X Li
ASME, Journal of Manufacturing Science and Engineering, 2015
132015
A deep branched network for failure mode diagnostics and remaining useful life prediction
Z Li, Y Li, X Yue, E Zio, J Wu
IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022
122022
Inferring 3D ellipsoids based on cross-sectional images with applications to porosity control of additive manufacturing
J Wu, Y Yuan, H Gong, TL Tseng
IISE Transactions 50 (7), 570-583, 2018
122018
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