Book description
This book presents results of projects carried out by both scientific and industry researchers into the techniques to help in maintenance, control, supervision and security of systems, taking into account the technical environmental and human factors.
This work is supported by the Scientific Group GIS 3SGS. It is a collaborative work from 13 partners (academic and industrial) who have come together to deal with security problems. The problems and techniques discussed mainly focus on stochastic and dynamic modeling, maintenance, forecasting, diagnosis, reliability, performance, organizational, human and environmental factors, uncertainty and experience feedback.
Part 1. Industrial Issues
1. Safety and Performance of Electricity Production Facilities, Gilles Deleuze, Jean Primet, Philippe Klein, Carole Duval and Antoine Despujols.
2. Monitoring of Radioactive Waste Disposal Cells in Deep Geological Formation, Stéphane Buschaert and Sylvie Lesoille.
3. Towards Fourth-generation Nuclear Reactors, Jean-Philippe Nabot, Olivier Gastaldi, François Baqué, Kévin Paumel and Jean-Philippe Jeannot.
Part 2. Supervison and Modeling of Complex Systems
4. Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization, Maan El Badaoui El Najiar, Cherif Smaili, François Charpillet, Denis Pomorski and Mireille Bayart.
5. Damage and Forecast Modeling, Anne Barros, Eric Levrat, Mitra Fouladirad, Khanh Le Son, Thomas Ruin, Benoît Iung, Alexandre Voisin, Maxime Monnin, Antoine Despujols, Emmanuel Rémy and Ludovic Bénétrix.
6. Diagnosis of Systems with Multiple Operating Modes, Taha Boukhobza, Frédéric Hamelin, Benoît Marx, Gilles Mourot, Anca Maria Nagy, José Ragot, Djemal Eddine Chouaib Belkhiat, Kevin Guelton, Dalel Jabri, Noureddine Manamanni, Sinuhé Martinez, Nadhir Messai, Vincent Cocquempot, Assia Hakem, Komi Midzodzi Pekpe, Talel Zouari, Michael Defoort, Mohammed Djemai and Jérémy Van Gorp.
7. Multitask Learning for the Diagnosis of Machine Fleet, Xiyan He, Gilles Mourot, Didier Maquin, José Ragot, Pierre Beauseroy, André Smolarz and Edith Grall-Maës.
8. The APPRODYN Project: Dynamic Reliability Approaches to Modeling Critical Systems, Jean-François Aubry, Genia Babykina, Nicolae Brinzei, Slimane Medjaher, Anne Barros, Christophe Berenguer, Antoine Grall, Yves Langeron, Danh Ngoc Nguyen, Gilles Deleuze, Benoîte De Saporta, François Dufour and Huilong Zhang.
Part 3. Characterizing Background Noise, Identifying Characteristic Signatures in Test Cases and Detecting Noise Reactors
9. Aims, Context and Type of Signals Studied, François Baqué, Olivier Descombin, Olivier Gastaldi and Yves Vandenboomgaerde.
10. Detection/Classification of Argon and Water Injections into Sodium into an SG of a Fast Neutron Reactor, Pierre Beauseroy, Edith Grall-Maës and Igor Nikiforov.
11. A Dynamic Learning-based Approach to the Surveillance and Monitoring of Steam Generators in Prototype Fast Reactors, Laurent Hartert, Moamar Sayed-Mouchaweh and Danielle Nuzillard.
12. SVM Time-Frequency Classification for the Detection of Injection States, Simon Henrot, El-Hadi Djermoune and David Brie.
13. Time and Frequency Domain Approaches for the Characterization of Injection States, Jean-Philippe Cassar and Komi Midzodzi Pekpe.
Part 4. Human, Organizational and Environmental Factors in Risk Analysis
14. Risk Analysis and Management in Systems Integrating Technical, Human, Organizational and Environmental Aspects, Geoffrey Fallet-Fidry, Carole Duval, Christophe Simon, Eric Levrat, Philippe Weber and Benoît Iung.
15. Integrating Human and Organizational Factors into the BCD Risk Analysis Model: An Influence Diagram-based approach, Karima Sedki, Philippe Polet and Frédéric Vanderhaegen.
Table of contents
- Cover
- Title Page
- Copyright
- Foreword
- Introduction
- Part 1. Industrial Issues
-
Part 2. Supervison and Modeling of Complex Systems
-
Chapter 4. Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization
- 4.1. Introduction
- 4.2. Review
- 4.3. Bayesian network for data fusion
- 4.4. Localization of a single vehicle: multisensor data fusion with a dynamic Bayesian network
-
4.5. Multi-vehicle localization
- 4.5.1. The problem studied
- 4.5.2. Communication within the convoy
- 4.5.3. Sensors used on each vehicle in the convoy
- 4.5.4. Bayesian network for the localization of a chain of vehicles
- 4.5.5. Extension of the approach: modeling and localization of a chain of vehicles
- 4.5.6. The issue with this model
- 4.5.7. New model for the localization of a chain of vehicles
- 4.5.8. Proportional commands
- 4.5.9. Functional analysis of models of the convoy
- 4.6. Conclusions and perspectives
- 4.7. Bibliography
- Chapter 5. Damage and Forecast Modeling
-
Chapter 6. Diagnosis of Systems with Multiple Operating Modes
- 6.1. Introduction
- 6.2. Detection of faults for a class of switching systems
- 6.3. Analytical method to obtain a multiple model
- 6.4. Detection of switching and operating mode recognition without the explicit use of model parameters
- 6.5. Modeling, observation and monitoring of switching systems: application to a multicellular converter
- 6.6. Bibliography
- Chapter 7. Multitask Learning for the Diagnosis of Machine Fleet
-
Chapter 8. The APPRODYN Project: Dynamic Reliability Approaches to Modeling Critical Systems
- 8.1. Context and aims
- 8.2. Brief overview of the test case
- 8.3. Modeling using a stochastic hybrid automaton approach
-
8.4. Modeling using piecewise deterministic Markov processes
- 8.4.1. Principles and references
- 8.4.2. What is a piecewise deterministic Markov process?
- 8.4.3. Modeling the test case
- 8.4.4. Modeling the VVP
- 8.4.5. Modeling CEX
- 8.4.6. Qualitative and quantitative results
- 8.4.7. Conclusion and perspectives for the piecewise deterministic Markov processes and simulation approach
- 8.5. Modeling using stochastic Petri nets
- 8.6. Preliminary conclusion and perspectives
- 8.7. Bibliography
-
Chapter 4. Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization
-
Part 3. Characterizing Background Noise, Identifying Characteristic Signatures in Test Cases and Detecting Noise Reactors
- Chapter 9. Aims, Context and Type of Signals Studied
-
Chapter 10. Detection/Classification of Argon and Water Injections into Sodium into an SG of a Fast Neutron Reactor
- 10.1. Context and aims
- 10.2. Data
- 10.3. Online (sequential) detection-isolation
- 10.4. Offline classification (non-sequential)
- 10.5. Results and comments
- 10.6. Conclusion
- 10.7. Bibliography
- Chapter 11. A Dynamic Learning-based Approach to the Surveillance and Monitoring of Steam Generators in Prototype Fast Reactors
- Chapter 12. SVM Time-Frequency Classification for the Detection of Injection States
-
Chapter 13. Time and Frequency Domain Approaches for the Characterization of Injection States
- 13.1. Introduction
- 13.2. Analyzing the statistical properties of spectral power densities
- 13.3. Analysis of the filtering characteristics
- 13.4. Conclusion on frequential and temporal approaches
- 13.5. Bibliography
-
Part 4. Human, Organizational and Environmental Factors in Risk Analysis
- Chapter 14. Risk Analysis and Management in Systems Integrating Technical, Human, Organizational and Environmental Aspects
- Chapter 15. Integrating Human and Organizational Factors into the BCD Risk Analysis Model: An Influence Diagram-based approach
- Conclusion
- List of Authors
- Index
Product information
- Title: Supervision and Safety of Complex Systems
- Author(s):
- Release date: October 2012
- Publisher(s): Wiley
- ISBN: 9781848214132
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