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Observability and redundancy classification in multicomponent process networks
Author(s) -
Kretsovalis Alexandros,
Mah R. S. H.
Publication year - 1987
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690330110
Subject(s) - observability , redundancy (engineering) , exploit , graph , mathematics , data mining , graph theory , computer science , algorithm , theoretical computer science , combinatorics , computer security , operating system
Classification of variables and measurements in multicomponent flow networks is treated in this paper. Classification rules are derived that exploit the relationship between cutsets of the process graph and certain graphs derived from it, and the solvability of the relevant equations. These rules are incorporated in two graph‐oriented algorithms for observability and redundancy classification.