Yu Ding
Yu Ding
Mike and Sugar Barnes Professor, Dept of Industrial & Systems Engineering, Texas A&M University
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Zitiert von
Zitiert von
Fault diagnosis of multistage manufacturing processes by using state space approach
Y Ding, D Ceglarek, J Shi
ASME Transactions, Journal of Manufacturing Science and Engineering 124 (2 …, 2002
Phase I analysis for monitoring nonlinear profiles in manufacturing processes
Y Ding, L Zeng, S Zhou
Journal of Quality Technology 38 (3), 199-216, 2006
Optimal maintenance strategies for wind turbine systems under stochastic weather conditions
E Byon, L Ntaimo, Y Ding
IEEE transactions on reliability 59 (2), 393-404, 2010
Season-dependent condition-based maintenance for a wind turbine using a partially observed Markov decision process
E Byon, Y Ding
IEEE Transactions on Power Systems 25 (4), 1823-1834, 2010
Modeling and diagnosis of multistage manufacturing processes: part I state space model
Y Ding, D Ceglarek, J Shi
Proceedings of the 2000 Japan/USA symposium on flexible automation, 23-26, 2000
Diagnosability analysis of multi-station manufacturing processes
Y Ding, J Shi, D Ceglarek
ASME Transactions, Journal of Dynamic Systems, Measurement, and Control 124 …, 2002
Time-based competition in multistage manufacturing: Stream-of-variation analysis (SOVA) methodology
D Ceglarek, W Huang, S Zhou, Y Ding, R Kumar, Y Zhou
International Journal of Flexible Manufacturing Systems 16 (1), 11-44, 2004
Segmentation, inference and classification of partially overlapping nanoparticles
C Park, JZ Huang, JX Ji, Y Ding
IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (3), 669-681, 2013
Diagnosability study of multistage manufacturing processes based on linear mixed-effects models
S Zhou, Y Ding, Y Chen, J Shi
Technometrics 45 (4), 312-325, 2003
Optimal sensor distribution for variation diagnosis in multistation assembly processes
Y Ding, P Kim, D Ceglarek, J Jin
IEEE Transactions on Robotics and Automation 19 (4), 543-556, 2003
A survey of inspection strategy and sensor distribution studies in discrete-part manufacturing processes
SS Mandroli, AK Shrivastava, Y Ding
IIE Transactions 38 (4), 309-328, 2006
Process-oriented tolerancing for multi-station assembly systems
Y Ding, J Jin, D Ceglarek, J Shi
IIE Transactions 37 (6), 493-508, 2005
Design evaluation of multi-station assembly processes by using state space approach
Y Ding, D Ceglarek, J Shi
ASME Transactions, Journal of Mechanical Design 124 (3), 408-418, 2002
Optimal design of fixture layout in multistation assembly processes
P Kim, Y Ding
IEEE Transactions on Automation Science and Engineering 1 (2), 133-145, 2004
Domain decomposition approach for fast Gaussian process regression of large spatial data sets
C Park, JZ Huang, Y Ding
Journal of Machine Learning Research 12, 1697-1728., 2011
Simulation of wind farm operations and maintenance using discrete event system specification
E Byon, E Pérez, Y Ding, L Ntaimo
Simulation 87 (12), 1093-1117, 2011
Power curve estimation with multivariate environmental factors for inland and offshore wind farms
G Lee, Y Ding, MG Genton, L Xie
Journal of the American Statistical Association 110 (509), 56-67, 2015
Distributed sensing for quality and productivity improvements
Y Ding, EA Elsayed, S Kumara, JC Lu, F Niu, J Shi
IEEE Transactions on Automation Science and Engineering 3 (4), 344-359, 2006
Gaussian process method for form error assessment using coordinate measurements
H Xia, Y Ding, J Wang
IIE Transactions 40 (10), 931-946, 2008
Optimal engineering system design guided by data-mining methods
P Kim, Y Ding
Technometrics 47 (3), 336-348, 2005
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