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Detection of equipment faults in automatically controlled processes
Author(s) -
Rollins Derrick K.,
Cheng Yisun,
Chen Victoria C. P.
Publication year - 1996
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.690420616
Subject(s) - process (computing) , computer science , fault (geology) , controller (irrigation) , fault detection and isolation , process control , work in process , control engineering , chemical process , control (management) , control theory (sociology) , artificial intelligence , engineering , operations management , chemical engineering , seismology , agronomy , actuator , biology , geology , operating system
Based on the UBET, a new strategy for identifying faulty equipment for dynamic chemical processes under automatic control is presented. The strategy is designed to distinguish between measurement biases, controller biases, and process leaks. For illustration purposes, application is given to a level control process under pseudo‐steady state. This approach was inspired by the work of Rollins and Devanathan to identify biased measurements under dynamic conditions. Advantages of this method are that it is not computationally intensive, can accurately detect and specifically identify the type of fault, and can accurately determine the time when the fault occurs.