Fault Detection in Nuclear Power Plants by Adaptive Modeling (2007)

Master's thesis that explores fault detection in nuclear power plants (NPPs) using adaptive process modeling. The author, Jaakko Talonen, from Helsinki University of Technology, details a methodology involving data mining (DM), principal component analysis (PCA), and weighted recursive least squares (WRLS).