Incipient Fault Detection and Isolation of Field Devices in Nuclear Power Systems Using Principal Component Analysis
Author:
Affiliation:
1. The University of Tennessee, Knoxville, 209 Pasqua Engineering Building Knoxville, Tennessee 37996-2300
Publisher
Informa UK Limited
Subject
Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://www.tandfonline.com/doi/pdf/10.13182/NT01-A3240
Reference19 articles.
1. S. J. FARLOW, Self-Organizing Methods in Modeling: GMDH Type Algorithms, Marcel Dekker, New York (1984).
2. Detection of gross erros in data reconciliation by principal component analysis
3. Nonlinear principal component analysis using autoassociative neural networks
4. Reconciliation of process flow rates by matrix projection. Part I: Linear case
5. Unbiased estimation of gross errors in process measurements
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