Qiang Zhou
Qiang Zhou
Associate Professor, Systems & Industrial Eng., University of Arizona
Adresse e-mail validée de arizona.edu - Page d'accueil
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Prognostics and health management: A review on data driven approaches
KL Tsui, N Chen, Q Zhou, Y Hai, W Wang
Mathematical Problems in Engineering 2015, 2015
2082015
Remaining useful life prediction of lithium-ion batteries based on spherical cubature particle filter
D Wang, F Yang, KL Tsui, Q Zhou, SJ Bae
IEEE Transactions on Instrumentation and Measurement 65 (6), 1282-1291, 2016
1312016
A simple approach to emulation for computer models with qualitative and quantitative factors
Q Zhou, PZG Qian, S Zhou
Technometrics 53 (3), 266-273, 2011
1242011
Remaining useful life prediction of individual units subject to hard failure
Q Zhou, J Son, S Zhou, X Mao, M Salman
IIE Transactions 46 (10), 1017-1030, 2014
712014
Integrating GD&T into dimensional variation models for multistage machining processes
JP Loose, Q Zhou, S Zhou, D Ceglarek
International Journal of Production Research 48 (11), 3129-3149, 2010
572010
Evaluation and comparison of mixed effects model based prognosis for hard failure
J Son, Q Zhou, S Zhou, X Mao, M Salman
IEEE Transactions on reliability 62 (2), 379-394, 2013
522013
Vibration sensor data denoising using a time-frequency manifold for machinery fault diagnosis
Q He, X Wang, Q Zhou
Sensors 14 (1), 382-402, 2014
442014
A wavelet-based statistical approach for monitoring and diagnosis of compound faults with application to rolling bearings
W Fan, Q Zhou, J Li, Z Zhu
IEEE Transactions on Automation Science and Engineering 15 (4), 1563-1572, 2017
332017
A sequential sampling strategy to improve the global fidelity of metamodels in multi-level system design
Y Liu, Y Shi, Q Zhou, R Xiu
Structural and Multidisciplinary Optimization 53 (6), 1295-1313, 2016
292016
Optimization of wind power and its variability with a computational intelligence approach
Z Zhang, Q Zhou, A Kusiak
IEEE Transactions on Sustainable Energy 5 (1), 228-236, 2013
282013
On assessing spatial uniformity of particle distributions in quality control of manufacturing processes
KM Kam, L Zeng, Q Zhou, R Tran, J Yang
Journal of Manufacturing Systems 32 (1), 154-166, 2013
272013
Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation
X Chen, Q Zhou
European Journal of Operational Research 262 (2), 575-585, 2017
262017
Novel Gauss–Hermite integration based Bayesian inference on optimal wavelet parameters for bearing fault diagnosis
D Wang, KL Tsui, Q Zhou
Mechanical Systems and Signal Processing 72, 80-91, 2016
212016
Sequential experimental designs for stochastic kriging
X Chen, Q Zhou
Proceedings of the Winter Simulation Conference 2014, 3821-3832, 2014
212014
Differential evolution-based feature selection and parameter optimisation for extreme learning machine in tool wear estimation
WA Yang, Q Zhou, KL Tsui
International Journal of Production Research 54 (15), 4703-4721, 2016
182016
Prediction of hard failures with stochastic degradation signals using Wiener process and proportional hazards model
J Man, Q Zhou
Computers & Industrial Engineering 125, 480-489, 2018
162018
A comparative study on clustering indices for distribution uniformity of nanoparticles in metal matrix nanocomposites
Q Zhou, L Zeng, M DeCicco, X Li, S Zhou
CIRP Journal of Manufacturing Science and Technology 5 (4), 348-356, 2012
162012
Pairwise estimation of multivariate gaussian process models with replicated observations: Application to multivariate profile monitoring
Y Li, Q Zhou, X Huang, L Zeng
Technometrics 60 (1), 70-78, 2018
152018
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
142018
Quantifying boundary effect of nanoparticles in metal matrix nanocomposite fabrication processes
L Zeng, Q Zhou, MP De Cicco, X Li, S Zhou
IIE Transactions 44 (7), 551-567, 2012
132012
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