Xiaodong Jia
Hivatkozott rá
Hivatkozott rá
Particle deposition and aggregation: measurement, modelling and simulation
M Elimelech, J Gregory, X Jia
Butterworth-Heinemann, 2013
A packing algorithm for particles of arbitrary shapes
X Jia, RA Williams
Powder technology 120 (3), 175-186, 2001
A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery
M Zhao, X Jia
Mechanical Systems and Signal Processing 94, 129-147, 2017
Combining X-ray microtomography with computer simulation for analysis of granular and porous materials
R Moreno-Atanasio, RA Williams, X Jia
Particuology 8 (2), 81-99, 2010
Machinery fault diagnosis with imbalanced data using deep generative adversarial networks
W Zhang, X Li, XD Jia, H Ma, Z Luo, X Li
Measurement 152, 107377, 2020
Validation of a digital packing algorithm in predicting powder packing densities
X Jia, M Gan, RA Williams, D Rhodes
Powder Technology 174 (1-2), 10-13, 2007
Wind turbine performance degradation assessment based on a novel similarity metric for machine performance curves
X Jia, C Jin, M Buzza, W Wang, J Lee
Renewable Energy 99, 1191-1201, 2016
Predicting packing characteristics of particles of arbitrary shapes
M Gan, N Gopinathan, X Jia, RA Williams
KONA Powder and Particle Journal 22, 82-93, 2004
Characterisation of granule structure and strength made in a high shear granulator
N Rahmanian, M Ghadiri, X Jia, F Stepanek
Powder Technology 192 (2), 184-194, 2009
Industrial monitoring of hydrocyclone operation using electrical resistance tomography
RA Williams, X Jia, RM West, M Wang, JC Cullivan, J Bond, I Faulks, ...
Minerals Engineering 12 (10), 1245-1252, 1999
Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox
M Zhao, X Jia, J Lin, Y Lei, J Lee
Mechanical Systems and Signal Processing 98, 16-31, 2018
Development of slurry mixing models using resistance tomography
RA Williams, X Jia, SL McKee
Powder technology 87 (1), 21-27, 1996
Gaussian Process Regression for numerical wind speed prediction enhancement
H Cai, X Jia, J Feng, W Li, YM Hsu, J Lee
Renewable energy 146, 2112-2123, 2020
Tea tree oil nanoemulsions for inhalation therapies of bacterial and fungal pneumonia
M Li, L Zhu, B Liu, L Du, X Jia, L Han, Y Jin
Colloids and Surfaces B: Biointerfaces 141, 408-416, 2016
Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook
RS Peres, X Jia, J Lee, K Sun, AW Colombo, J Barata
IEEE Access 8, 220121-220139, 2020
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation
X Li, XD Jia, W Zhang, H Ma, Z Luo, X Li
Neurocomputing 383, 235-247, 2020
Assessment of data suitability for machine prognosis using maximum mean discrepancy
X Jia, M Zhao, Y Di, Q Yang, J Lee
IEEE transactions on industrial electronics 65 (7), 5872-5881, 2017
Design and application of a multi-modal process tomography system
BS Hoyle, X Jia, FJW Podd, HI Schlaberg, HS Tan, M Wang, RM West, ...
Measurement Science and Technology 12 (8), 1157, 2001
Assessment of physical and hydrological properties of biological soil crusts using X-ray microtomography and modeling
M Menon, Q Yuan, X Jia, AJ Dougill, SR Hoon, AD Thomas, RA Williams
Journal of Hydrology 397 (1-2), 47-54, 2011
Effect of granulation scale-up on the strength of granules
A Hassanpour, CC Kwan, BH Ng, N Rahmanian, YL Ding, SJ Antony, ...
Powder Technology 189 (2), 304-312, 2009
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Cikkek 1–20