Bond graphs for the diagnosis of chemical processes

Abstract The paper deals with the use of coupled bond graph as an integrated decision tool for health monitoring of chemical reactors. A bond graph model based diagnostic strategy is adopted to detect and isolate kinetic and thermodynamic drift of chemical reactors due to the appearance of secondary reactions. Furthermore, the causal and structural properties of the bond graph model are used not only for system dynamics simulation but also to design Fault Detection and Isolation (FDI) algorithms (i.e. the generation of formal fault indicators) for online supervision of faults affecting sensors, actuators, physico-chemical components and phenomena.

[1]  Chonghun Han,et al.  Automatic construction of extended symptom-fault associations from the signed digraph , 1996 .

[2]  Raghunathan Rengaswamy,et al.  A systematic framework for the development and analysis of signed digraphs for chemical processes. 2. Control loops and flowsheet analysis , 2003 .

[3]  Ernst Dieter Gilles.  Network Theory for Chemical Processes , 1998 .

[4]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[5]  Ning Lü,et al.  Fault Diagnosis Based on Signed Digraph Combined with Dynamic Kernel PLS and SVR , 2008 .

[6]  Raghunathan Rengaswamy,et al.  Fault diagnosis using dynamic trend analysis: A review and recent developments , 2007, Eng. Appl. Artif. Intell..

[7]  Raghunathan Rengaswamy,et al.  A Signed Directed Graph and Qualitative Trend Analysis-Based Framework for Incipient Fault Diagnosis , 2007 .

[8]  Raghunathan Rengaswamy,et al.  Fault Diagnosis by Qualitative Trend Analysis of the Principal Components , 2005 .

[9]  T. Kohda,et al.  Identification of system failure causes using bond graph models , 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

[10]  Hong Wang,et al.  INTELLIGENT SUPERVISORY CONTROL , 1996 .

[11]  Pieter J. Mosterman,et al.  Diagnosis of continuous valued systems in transient operating regions , 1999, IEEE Trans. Syst. Man Cybern. Part A.

[12]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2006 .

[13]  Konrad Hungerbühler,et al.  Comparison of Methods Suitable for Assessing the Hazard Potential of Chemical Processes During Early Design Phases , 2001 .

[14]  Peter J. Gawthrop,et al.  Bicausal Bond Graphs , 1995 .

[15]  Marcel Staroswiecki,et al.  Supervision of an industrial steam generator. Part I: Bond graph modelling , 2006 .

[16]  Venkat Venkatasubramanian,et al.  Signed Digraph based Multiple Fault Diagnosis , 1997 .

[17]  Peter J. Gawthrop,et al.  Sensitivity bond graphs , 2000, J. Frankl. Inst..

[18]  Arun K. Samantaray,et al.  Sensitivity bond graph approach to multiple fault isolation through parameter estimation , 2007 .

[19]  B. Ould Bouamama,et al.  Modelling and Simulation in Thermal and Chemical Engineering: A Bond Graph Approach , 1999 .

[20]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part III: Process history based methods , 2003, Comput. Chem. Eng..

[21]  Kamal Medjaher,et al.  Diagnostic bond graphs for online fault detection and isolation , 2006, Simul. Model. Pract. Theory.

[22]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..

[23]  R. Rengaswamy,et al.  A Systematic Framework for the Development and Analysis of Signed Digraphs for Chemical Processes. 1. Algorithms and Analysis , 2003 .

[24]  S. Gentil,et al.  Combining FDI and AI approaches within causal-model-based diagnosis , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[25]  G. Dauphin-Tanguy,et al.  Robust Fault Diagnosis by Using Bond Graph Approach , 2007, IEEE/ASME Transactions on Mechatronics.

[26]  O. O. Oyeleye,et al.  Qualitative simulation of chemical process systems: Steady‐state analysis , 1988 .

[27]  Alberto Ferrer,et al.  Batch process diagnosis: PLS with variable selection versus block-wise PCR , 2004 .

[28]  Chung C. Chang,et al.  On-line fault diagnosis using the signed directed graph , 1990 .

[29]  Arun K. Samantaray,et al.  Bicausal bond graphs for supervision: From fault detection and isolation to fault accommodation , 2008, J. Frankl. Inst..

[30]  Massimiliano Mattei,et al.  Sensor fault detection and isolation for chemical batch reactors , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[31]  Jose Joaquin Granda.  Computer aided modeling program (camp): a bond graph preprocessor for computer aided design and simulation of physical systems using digital simulation languages , 1982 .

[32]  Raghunathan Rengaswamy,et al.  A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops , 2006 .

[33]  Arun K. Samantaray,et al.  Multiple fault disambiguations through parameter estimation: a bond graph model-based approach , 2008, Int. J. Intell. Syst. Technol. Appl..

[34]  Derek A. Linkens,et al.  Intelligent Supervisory Control - A Qualitative Bond Graph Reasoning Approach , 1996, World Scientific Series in Robotics and Intelligent Systems.

[35]  Seongkyu Yoon,et al.  Fault diagnosis with multivariate statistical models part I: using steady state fault signatures , 2001 .

[36]  Thomas Parisini,et al.  Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process , 2005 .

[37]  Christian Commault,et al.  Structural analysis for the sensor location problem in fault detection and isolation , 2008, Autom..

[38]  Ilya V. Kolmanovsky,et al.  Predictive energy management of a power-split hybrid electric vehicle , 2009, 2009 American Control Conference.

[39]  Marcel Staroswiecki,et al.  SOFTWARE FOR SUPERVISION SYSTEM DESIGN IN PROCESS ENGINEERING INDUSTRY , 2006 .

[40]  Amalendu Mukherjee.  System Modeling through Bond graph Objects on SYMBOLS 2000. , 2000 .

[41]  Kamal Medjaher,et al.  Bond graph model of a vertical U-tube steam condenser coupled with a heat exchanger , 2009, Simul. Model. Pract. Theory.

[42]  Dean Karnopp,et al.  Pseudo bond graphs for generalized compartmental models in engineering and physiology , 1981 .

[43]  Raghunathan Rengaswamy,et al.  Fuzzy-logic based trend classification for fault diagnosis of chemical processes , 2003, Comput. Chem. Eng..

[44]  Saurav Chakraborty,et al.  Improvements to Single-Fault Isolation Using Estimated Parameters , 2005, Simul..

[45]  Johannes F. Broenink,et al.  BOND-GRAPH MODELING IN MODELICA ™ , 1997 .

[46]  M. Iri,et al.  An algorithm for diagnosis of system failures in the chemical process , 1979 .

[47]  J. DeCicco,et al.  Monitoring and fault diagnosis of a polymerization reactor by interfacing knowledge-based and multivariate SPM tools , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[48]  Nicolás J. Scenna,et al.  Fault diagnosis, direct graphs, and fuzzy logic , 1997 .

[49]  Xin Ma,et al.  Application of Signed Directed Graph Based Fault Diagnosis of Atmospheric Distillation Unit , 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.

[50]  Johannes F. Broenink.  Modelling, Simulation and Analysis with 20-Sim , 1997 .

[51]  Christian Commault,et al.  Structural Analysis for the Sensor Location Problem in Fault Detection and Isolation , 2007 .