Parents
Sign in to add mentorJianjun Shi | grad student | 2003 | University of Michigan | |
(Integrated design and analysis of product quality and tooling reliability.) |
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Publications
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Lee J, Son J, Zhou S, et al. (2020) Variation Source Identification in Manufacturing Processes Using Bayesian Approach With Sparse Variance Components Prior Ieee Transactions On Automation Science and Engineering. 17: 1469-1485 |
Liu Y, Zhou S, Chen Y, et al. (2018) Measurements Selection for Bias Reduction in Structural Damage Identification Journal of Dynamic Systems, Measurement, and Control. 141 |
Si W, Yang Q, Monplaisir L, et al. (2018) Reliability Analysis of Repairable Systems With Incomplete Failure Time Data Ieee Transactions On Reliability. 67: 1043-1059 |
Si W, Yang Q, Wu X, et al. (2018) Reliability analysis considering dynamic material local deformation Journal of Quality Technology. 50: 183-197 |
Wu J, Chen Y, Zhou S, et al. (2016) Online Steady-State Detection for Process Control Using Multiple Change-Point Models and Particle Filters Ieee Transactions On Automation Science and Engineering. 13: 688-700 |
Wu J, Chen Y, Zhou S. (2016) Online detection of steady-state operation using a multiple-change-point model and exact Bayesian inference Iie Transactions (Institute of Industrial Engineers). 48: 599-613 |
Li S, Chen Y. (2016) A Bayesian variable selection method for joint diagnosis of manufacturing process and sensor faults Iie Transactions. 48: 313-323 |
Hou Y, Wu J, Chen Y. (2016) Online Steady State Detection Based on Rao‐Blackwellized Sequential Monte Carlo Quality and Reliability Engineering International. 32: 2667-2683 |
Das D, Chen Y, Zhou S, et al. (2016) Monitoring of multiple binary data streams using a hierarchical model structure Quality and Reliability Engineering International. 32: 1307-1319 |
Das D, Zhou S, Chen Y, et al. (2015) Statistical monitoring of over-dispersed multivariate count data using approximate likelihood ratio tests International Journal of Production Research. 1-15 |