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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...
Autores principales: | Malluhi, Byanne, Nounou, Hazem, Nounou, Mohamed |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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