Seuraa
Xiaodong Jia
Xiaodong Jia
Vahvistettu sähköpostiosoite verkkotunnuksessa leeds.ac.uk
Nimike
Viittaukset
Viittaukset
Vuosi
Particle deposition and aggregation: measurement, modelling and simulation
M Elimelech, J Gregory, X Jia
Butterworth-Heinemann, 2013
30322013
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
3392020
A packing algorithm for particles of arbitrary shapes
X Jia, RA Williams
Powder technology 120 (3), 175-186, 2001
3202001
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
2782020
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
2502017
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
1772010
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
1402007
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
1302016
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
1272020
Quality analysis in metal additive manufacturing with deep learning
X Li, X Jia, Q Yang, J Lee
Journal of Intelligent Manufacturing 31 (8), 2003-2017, 2020
1152020
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
1122004
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
1081999
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
1072009
Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery
X Jia, M Zhao, Y Di, P Li, J Lee
Mechanical Systems and Signal Processing 102, 198-213, 2018
1042018
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
1032018
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
982020
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
982017
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
972016
Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion
Y Pan, R Hong, J Chen, J Singh, X Jia
Mechanism and machine theory 137, 509-526, 2019
952019
Prognosability study of ball screw degradation using systematic methodology
P Li, X Jia, J Feng, H Davari, G Qiao, Y Hwang, J Lee
Mechanical Systems and Signal Processing 109, 45-57, 2018
912018
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Artikkelit 1–20