Year |
Citation |
Score |
2023 |
Li Y, Zhou Q, Jiang W, Tsui KL. Optimal Composite Likelihood Estimation and Prediction for Distributed Gaussian Process Modeling. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 37903052 DOI: 10.1109/TPAMI.2023.3328378 |
0.573 |
|
2019 |
Wen Y, Wu J, Zhou Q, Tseng T. Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement Ieee Transactions On Automation Science and Engineering. 16: 613-628. DOI: 10.1109/Tase.2018.2844204 |
0.577 |
|
2018 |
Fan W, Li Y, Tsui KL, Zhou Q. A Noise Resistant Correlation Method for Period Detection of Noisy Signals Ieee Transactions On Signal Processing. 66: 2700-2710. DOI: 10.1109/Tsp.2018.2813305 |
0.569 |
|
2018 |
Fan W, Zhou Q, Li J, Zhu Z. A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings Ieee Transactions On Automation Science and Engineering. 15: 1563-1572. DOI: 10.1109/Tase.2017.2720177 |
0.445 |
|
2018 |
Li Y, Zhou Q, Huang X, Zeng L. Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring Technometrics. 60: 70-78. DOI: 10.1080/00401706.2017.1305298 |
0.595 |
|
2018 |
Wu Q, Zeng L, Zhou Q. Phase I monitoring of optical profiles with application in low-emittance glass manufacturing Journal of Quality Technology. 50: 262-278. DOI: 10.1080/00224065.2018.1474687 |
0.31 |
|
2018 |
Man J, Zhang Z, Zhou Q. Data-driven predictive analytics of unexpected wind turbine shut-downs Iet Renewable Power Generation. 12: 1833-1842. DOI: 10.1049/Iet-Rpg.2018.5520 |
0.329 |
|
2018 |
Man J, Zhou Q. Prediction of hard failures with stochastic degradation signals using Wiener process and proportional hazards model Computers & Industrial Engineering. 125: 480-489. DOI: 10.1016/J.Cie.2018.09.015 |
0.375 |
|
2018 |
Man J, Zhou Q. Remaining useful life prediction for hard failures using joint model with extended hazard Quality and Reliability Engineering International. 34: 748-758. DOI: 10.1002/Qre.2285 |
0.311 |
|
2017 |
Li J, Zhou Q. A General Approach for Monitoring Serially Dependent Categorical Processes Journal of Quality Technology. 49: 365-379. DOI: 10.1080/00224065.2017.11918003 |
0.301 |
|
2017 |
Huang X, Xu J, Zhou Q. Multi-Scale Diagnosis of Spatial Point Interaction Via Decomposition of the K Function-Based T2 Statistic Journal of Quality Technology. 49: 213-227. DOI: 10.1080/00224065.2017.11917991 |
0.322 |
|
2017 |
Chen X, Zhou Q. Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation European Journal of Operational Research. 262: 575-585. DOI: 10.1016/J.Ejor.2017.03.042 |
0.318 |
|
2016 |
Li Y, Zhou Q. Pairwise Meta-Modeling of Multivariate Output Computer Models Using Nonseparable Covariance Function Technometrics. 58: 483-494. DOI: 10.1080/00401706.2015.1079244 |
0.598 |
|
2016 |
Wang D, Tsui KL, Zhou Q. Novel Gauss-Hermite integration based Bayesian inference on optimal wavelet parameters for bearing fault diagnosis Mechanical Systems and Signal Processing. 72: 80-91. DOI: 10.1016/J.Ymssp.2015.11.018 |
0.324 |
|
2015 |
Tsui KL, Chen N, Zhou Q, Hai Y, Wang W. Prognostics and Health Management: A Review on Data Driven Approaches Mathematical Problems in Engineering. 2015: 793161. DOI: 10.1155/2015/793161 |
0.398 |
|
2015 |
Son J, Zhou Q, Zhou S, Salman M. Prediction of the failure interval with maximum power based on the remaining useful life distribution Iie Transactions (Institute of Industrial Engineers). 47: 1072-1087. DOI: 10.1080/0740817X.2014.999899 |
0.65 |
|
2015 |
Yang WA, Zhou Q, Tsui KL. Differential evolution-based feature selection and parameter optimisation for extreme learning machine in tool wear estimation International Journal of Production Research. DOI: 10.1080/00207543.2015.1111534 |
0.316 |
|
2014 |
Zhou Q, Son J, Zhou S, Mao X, Salman M. Remaining useful life prediction of individual units subject to hard failure Iie Transactions (Institute of Industrial Engineers). 46: 1017-1030. DOI: 10.1080/0740817X.2013.876126 |
0.663 |
|
2014 |
Zhou Q, Zhou J, De Cicco M, Zhou S, Li X. Detecting 3d spatial clustering of particles in nanocomposites based on cross-sectional images Technometrics. 56: 212-224. DOI: 10.1080/00401706.2013.804440 |
0.521 |
|
2014 |
Zeng L, Neogi S, Zhou Q. Robust Phase i monitoring of profile data with application in low-E glass manufacturing processes Journal of Manufacturing Systems. 33: 508-521. DOI: 10.1016/J.Jmsy.2014.05.001 |
0.345 |
|
2013 |
Son J, Zhou Q, Zhou S, Mao X, Salman M. Evaluation and comparison of mixed effects model based prognosis for hard failure Ieee Transactions On Reliability. 62: 379-394. DOI: 10.1109/Tr.2013.2259205 |
0.678 |
|
2012 |
Zhou Q, Qian PZG, Zhou S. Surrogate modeling of multistage assembly processes using integrated emulation Journal of Mechanical Design, Transactions of the Asme. 134. DOI: 10.1115/1.4005440 |
0.586 |
|
2012 |
Zeng L, Zhou Q, De Cicco MP, Li X, Zhou S. Quantifying boundary effect of nanoparticles in metal matrix nanocomposite fabrication processes Iie Transactions (Institute of Industrial Engineers). 44: 551-567. DOI: 10.1080/0740817X.2011.635180 |
0.5 |
|
2012 |
Zhou Q, Zeng L, DeCicco M, Li X, Zhou S. A comparative study on clustering indices for distribution uniformity of nanoparticles in metal matrix nanocomposites Cirp Journal of Manufacturing Science and Technology. 5: 348-356. DOI: 10.1016/J.Cirpj.2012.09.013 |
0.49 |
|
2010 |
Zhou Q, Zeng L, Zhou S. Statistical detection of defect patterns using hough transform Ieee Transactions On Semiconductor Manufacturing. 23: 370-380. DOI: 10.1109/Tsm.2010.2048959 |
0.521 |
|
2010 |
Loose JP, Zhou Q, Zhou S, Ceglarek D. Integrating GD&T into dimensional variation models for multistage machining processes International Journal of Production Research. 48: 3129-3149. DOI: 10.1080/00207540802691366 |
0.661 |
|
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