A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network

DOI10.1016/j.jfranklin.2018.07.035zbMath1398.93073OpenAlexW2887529588WikidataQ129393695 ScholiaQ129393695MaRDI QIDQ1797198

Liang Ma, Jie Dong, Kaixiang Peng

Publication date: 18 October 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.07.035

zbMATH Keywords

nonlinear dynamic latent variable modelpartitioned Bayesian networkquality-related fault diagnosis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) System identification (93B30) Nonlinear systems in control theory (93C10) Software, source code, etc. for problems pertaining to systems and control theory (93-04)

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