Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods

Linear dependence of variables is a commonly used assumption in most diagnostic systems for which many robust methodologies have been developed over the years. In case the system nonlinearities are relevant, fault diagnosis methods, relying on the assumption of linearity, might potentially provide u...

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Detalles Bibliográficos
Autores principales: Cartocci, Nicholas, Napolitano, Marcello R., Crocetti, Francesco, Costante, Gabriele, Valigi, Paolo, Fravolini, Mario L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003460/
https://www.ncbi.nlm.nih.gov/pubmed/35408249
http://dx.doi.org/10.3390/s22072635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003460/
https://www.ncbi.nlm.nih.gov/pubmed/35408249
http://dx.doi.org/10.3390/s22072635

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