Bond graphs for the diagnosis of chemical processes

Ould-Bouamama, Belkacem; Harabi, Rafika El; Abdelkrim, Mohamed Naceur; Gayed, Mohamed Kony Ben

doi:10.1016/j.compchemeng.2011.07.008

Cited by 63 publications

(25 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, to overcome the problems cited above, we shall propose a combined nonlinear dynamic PCA and graphical approaches (BG, SDG) based fault diagnosis algorithm to update FDI systems to track process changes for industrial chemical processes when the secondary events (secondary reaction, hazard event of thermal runaway… etc) appear in a chemical reaction. This extension improves the fault detection and isolation stages based on ARRs [19]. Based on the behavioral, structural and causal properties of an integrated coupled bond graph models, a signed directed graph is hence deduced.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault Diagnosis Algorithms by Combining Structural Graphs and PCA Approaches for Chemical Processes

Harabi

Smaili

Abdelkrim

2014

Chaos Modeling and Control Systems Design

View full text Add to dashboard Cite

This work presents a diagnosis algorithm that combines structural causal graphical model and nonlinear dynamic Principal Component Analysis (PCA) for nonlinear systems with coupled energies incorporate the chemical kinetics of an equilibrated reaction, heat and mass transport phenomena. Therein, a coupled Bond Graph (BG) model, as an integrated decision tool, is used for modeling purpose. A Signed Directed Graph (SDG) is then deduced. A fault detection step is later carried out by generating initial responses through causal paths between exogenous and measured variables. After that, the localization of the actual fault is performed based on a nonlinear PCA (NLPCA) and back/forward propagations on the SDG. Simulation results on a pilot reactor show that the physic-chemical defects such as matter leakage, thermal insulation, or appearance of secondary reaction or temperature runaway when a very exothermic reaction occurs, can be detected and isolated.

show abstract

Section: Introductionmentioning

confidence: 99%

“…A more comprehensive comparison of causal graphical methods (qualitative and quantitative) for diagnosis is presented in [19].…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis Algorithms by Combining Structural Graphs and PCA Approaches for Chemical Processes

Harabi

Smaili

Abdelkrim

2014

Chaos Modeling and Control Systems Design

View full text Add to dashboard Cite

show abstract

“…r 3 = e 10 -e 9 -e 8 -e 7 According to these relations, one can deduce the residual equation According to these relations, one can deduce the residual equation r 4 :…”

Section: -E 2 -Ementioning

confidence: 99%

“…For technical or financial reasons, this solution is reserved for high-tech industries or those with high technological risks. Moreover, this hardware redundancy does not make it possible to protect against a failure of certain common elements of the measurement chain [7][8][9][10][11][12]. Moreover, analytical redundancy has the advantage of not increasing the cost of the installation and freeing itself from the hardware constraints.…”

Section: Introductionmentioning

confidence: 99%

Robust Diagnosis of Vehicular Active Suspension System Using Bond Graph Approach

Sellami¹,

Mzoughi²,

Mami³

2018

IJET

View full text Add to dashboard Cite

Diagnostic systems play a major role in the safety of industrial systems and the availability of its equipment. Rapid detecti on (as soon as possible) to the operator of the detected deviations (defects) in relation to the expected nominal behavior is fundamental for the implementation of preventive and corrective actions on industrial systems. These industrial systems are governed by several physical phenomena and various technological components, which is why the Bond Graph tool, based on an energy and multi-physical analysis, is well suited. In this article, we will discuss the problem of diagnosing an active suspension system of a vehicle by presenting diagnostic methods. Then, we introduce the bond graph tool for the robust diagnosis of the system. Finally, the extension of the deterministic models presented to models integrating uncertain element s (Fractional linear transformations LFT) and the generation of robust analytical redundancy relationships are also detailed.

show abstract

“…The hybrid bond graph model expands on the continuous model, similar to bond graph models, by including specific elements such as switch elements to represent physical TOR transitions (also known as binary transitions) [12], [13] and [14].…”

Section: Introductionmentioning

confidence: 99%

Linear Hybrid Automaton Generation Using Mapping Algorithm for Hybrid Dynamic Systems

Sekhri

Haffaf²

2014

IJITCS

View full text Add to dashboard Cite

Abstract-Hybrid dynamic systems are analyzed through linear hybrid automaton. In this paper, we propose a mapping algorithm to deal with a new Continuous elementary HPN. The method shown enables us to analyze some system properties using a linear hybrid automaton generated by a mapping process. The application involves a water system of three tanks, which is analyzed by a PHAVer (Polyhedral Hybrid Automaton Verifier) software tool. Its effectiveness is illustrated by numerical simulation results.

show abstract

Bond graphs for the diagnosis of chemical processes

Cited by 63 publications

References 36 publications

Fault Diagnosis Algorithms by Combining Structural Graphs and PCA Approaches for Chemical Processes

Fault Diagnosis Algorithms by Combining Structural Graphs and PCA Approaches for Chemical Processes

Robust Diagnosis of Vehicular Active Suspension System Using Bond Graph Approach

Linear Hybrid Automaton Generation Using Mapping Algorithm for Hybrid Dynamic Systems

Contact Info

Product

Resources

About