
Multiple-Fault Diagnosis for Chemical Processes Based on Signed Digraph and Dynamic Partial Least Squares
Publication year - 2003
Publication title -
je'eo jadong'hwa siseutem gonghag nonmunji
Language(s) - English
Resource type - Journals
ISSN - 1225-9845
DOI - 10.5302/j.icros.2003.9.2.159
Subject(s) - digraph , partial least squares regression , fault (geology) , process (computing) , representation (politics) , latent variable , variable (mathematics) , simple (philosophy) , computer science , mathematics , algorithm , data mining , pattern recognition (psychology) , artificial intelligence , machine learning , biology , mathematical analysis , philosophy , epistemology , combinatorics , paleontology , politics , political science , law , operating system