Artículos de revistas
Automatic qualitative trend simulation method for diagnosing faults in industrial processes
Fecha
2014-01Registro en:
Horowitz, Gabriel Ignacio; Cassanello Fernandez, Miryam Celeste; Ziella, Daniel Horacio; Maestri, Mauricio Leonardo; Automatic qualitative trend simulation method for diagnosing faults in industrial processes; Elsevier; Computers and Chemical Engineering; 64; 1-2014; 55-62
0098-1354
CONICET Digital
CONICET
Autor
Maestri, Mauricio Leonardo
Ziella, Daniel Horacio
Cassanello Fernandez, Miryam Celeste
Horowitz, Gabriel Ignacio
Resumen
This work proposes an automatic method of qualitative simulation for industrial processes to predict the steady-state measurement patterns arising from different faults. Due to their characteristics, qualitative simulations tend to generate multiple spurious solutions. The proposed method limits the number of such spurious solutions by automatically generating new qualitative equations from the generic quantitative model (i.e. without the need of knowing the value of its parameters) and using simple qualitative known relations or other readily available information. An algorithm to obtain such solutions from the set of qualitative equations is also presented.