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

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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Bibliographic Details
Main Authors: Byanne Malluhi, Hazem Nounou, Mohamed Nounou
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
multiscale PCA
process monitoring
fault detection
fault isolation
sensor faults
wavelet analysis
Online Access:https://www.mdpi.com/1424-8220/22/15/5564

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