Enhanced Multiscale Principal Component Analysis for Improved Sensor Fault Detection and Isolation

Multiscale PCA (MSPCA) is a well-established fault-detection and isolation (FDI) technique. It utilizes wavelet analysis and PCA to extract important features from process data. This study demonstrates limitations in the conventional MSPCA fault detection algorithm, thereby proposing an enhanced MSP...

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Detalles Bibliográficos
Autores principales: Malluhi, Byanne, Nounou, Hazem, Nounou, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332001/
https://www.ncbi.nlm.nih.gov/pubmed/35898068
http://dx.doi.org/10.3390/s22155564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332001/
https://www.ncbi.nlm.nih.gov/pubmed/35898068
http://dx.doi.org/10.3390/s22155564

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