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A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes (2022)

First Author: Papananias M

Attributed to: Future Advanced Metrology Hub funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1177/09544054221136510

Publication URI: http://dx.doi.org/10.1177/09544054221136510

Type: Journal Article/Review

Parent Publication: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Issue: 9