FDI in Dynamical Systems Using Principal Component Analysis Approaches - Elshenawy, Lamiaa M.
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Fault detection and isolation (FDI) techniques based on principal component analysis (PCA) are proposed. The main notable features of these techniques are stemmed from their implicity, low computational cost, and credibility to real industrial processes monitoring. Different applications are used to measure the validity, reliability and credibility of these techniques. The proposed techniques are fairly general and are applicable to most industrial processes

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Produktbeschreibung
Fault detection and isolation (FDI) techniques based on principal component analysis (PCA) are proposed. The main notable features of these techniques are stemmed from their implicity, low computational cost, and credibility to real industrial processes monitoring. Different applications are used to measure the validity, reliability and credibility of these techniques. The proposed techniques are fairly general and are applicable to most industrial processes
Autorenporträt
Lamiaa Elshenawy received her PhD degree in Automatic Control Engineering (ACE) from Menoufiya University, Egypt, in 2012. From 2007-2009, she joined the Institute of Automatic Control and Complex Systems, University of Duisburg-Essen, Germany for pursuing PhD degree in (ACE) under the joint scholarship scheme, Ministry of Higher Education, Egypt.