Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points

Author:

Garcia-Alvarez D.ORCID,Bregon A.,Pulido B.,Alonso-Gonzalez C.J.

Funder

Ministerio de Ciencia e Innovación

University of Valladolid

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference54 articles.

1. Dynamic Bayesian Network factors from Possible Conflicts for continuous system diagnosis;Alonso-Gonzalez,2011

2. Minimal structurally overdetermined sets for residual generation: A comparison of alternative approaches;Armengol;IFAC Proc. Vol.,2009

3. A new adaptive PCA based thresholding scheme for fault detection in complex systems;Bakdi;Chemometr. Intell. Lab. Syst.,2017

4. Diagnosis of a battery energy storage system based on principal component analysis;Banguero;Renew. Energy,2020

5. Diagnosis and Fault-Tolerant Control;Blanke,2006

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