Pseudo bond graph for fault detection and isolation of an industrial chemical reactor part II

Abstract

This second part of the two series papers deals with the problem of bond graph model based fault diagnosis for a class of chemical reactions taking place in a jacketed reactor. A bond graph model based fault detection and isolation approach applied to design of a supervision system for a complex chemical reactor is presented. The nonlinearities and energetic couplings involved in the dynamics require a suitable supervision environment. Furthermore, the causal and structural properties of the bond graph tool are used to design Fault Detection and Isolation (FDI) algorithms (i.e. the generation of fault indicators) to determine the availability of the chemical process. Thus, a unified framework is developed to take into account faults affecting sensors, actuators and process. Structural analysis of the model is utilized to obtain the fault signatures for fault isolation. The decision procedure to detect and isolate the faults uses the residuals, evaluated online. A detailed kinetic modelling approach had been proposed in previous work to simulate chemical reactions and analyze the appearance of secondary reactions under industrial conditions in this present paper.

Monitoring of Chemical Processes Using Model-Based Approach

“…Many researchers tried to find new approaches for performing fault diagnosis (Venkatasubramanian V., 2005), (Samantaray A.K. & al, 2006), (El Harabi R. & al., 2010a) and (El Harabi R. & al., 2010b). Others used existing approaches such the classic ones to develop their performance for new complex systems (Sotomayor O.A.Z.…”

Bond graph modeling for fault diagnosis: the continuous stirred tank reactor case study

“…Also, Bouamama and coworkers applied bond graph-based fault detection and isolation (FDI) extensively in a industrial thermal system (steam generator) 30,31 and in chemical processes. 32–35…”