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Keywords: Gaussian process
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Journal Articles
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2022, 144(3): 031007.
Paper No: MANU-20-1573
Published Online: August 16, 2021
... Gaussian process (GP) model, where the bottom tier relates the manipulating factors to the process conditions with control variation, and the top tier relates the process conditions to the outcome. It explicitly models the propagation of the control uncertainty to the outcome through the two modeling tiers...
Journal Articles
Article Type: Research Papers
J. Manuf. Sci. Eng. January 2020, 142(1): 011003.
Paper No: MANU-19-1317
Published Online: November 20, 2019
... of a titanium alloy workpiece. The model used is a series of Gaussian process models, each established for a polishing stage at which surface data are gathered. The series of Gaussian process models appear capable of capturing surface changes and variation over the polishing process, resulting in a decision...
Topics: Polishing
Journal Articles
Article Type: Research-Article
J. Manuf. Sci. Eng. January 2017, 139(1): 011014.
Paper No: MANU-16-1244
Published Online: September 29, 2016
... multitask learning (EG-MTL) surface model by fusing surface cutting physics in engineering processes and the spatial data from a number of similar-but-not-identical processes. An iterative multitask Gaussian process learning algorithm is developed to learn the model parameters. Compared...
Journal Articles
Article Type: Research-Article
J. Manuf. Sci. Eng. August 2014, 136(4): 041014.
Paper No: MANU-13-1360
Published Online: May 21, 2014
... simulation of this high dynamic process is very computational expensive. The Bayesian Gaussian process method dealing with multivariate output is introduced to overcome these difficulties by constructing a predictive model. Experiments are performed to collect the physical data of shock indentation profiles...
Journal Articles
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2011, 133(2): 021012.
Published Online: March 23, 2011
... such as lapping and polishing. Therefore, the MRR should be modeled and controlled to maintain the thickness uniformity. In this paper, a PDE-constrained Gaussian process model is developed based on the global Galerkin discretization of the governing partial differential equations (PDEs). Three features...