Process monitoring using a generalized probabilistic linear latent variable model

DOI10.1016/j.automatica.2018.06.029zbMath1406.93306OpenAlexW2811407124WikidataQ129597127 ScholiaQ129597127MaRDI QIDQ1716441

Biao Huang, Hariprasad Kodamana, Rahul Raveendran

Publication date: 5 February 2019

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.06.029

zbMATH Keywords

EM algorithmprocess monitoringprobabilistic latent variable modelsmultivariate techniques

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Control/observation systems involving computers (process control, etc.) (93C83) Multivariable systems, multidimensional control systems (93C35) Linear systems in control theory (93C05) Observability (93B07) Variable structure systems (93B12) Stochastic systems in control theory (general) (93E03)

Related Items (2)

A generalized probabilistic monitoring model with both random and sequential data ⋮ Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders

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