Philippe WEBER

En résumé

Entreprises

• Centre de Recherche en Automatique de Nancy (CRAN UMR 7039) - Professeur des Université

  Vandoeuvre-les-Nancy Cedex 2016 - maintenant Philippe Weber is a Professor at the Engineer School of Sciences and Technologies in Nancy (ESSTIN) at the University of Lorraine and at the Research Center for Automatic Control in Nancy (CRAN), France. His research concerns dependability, risk analysis, Predictive Maintenance, PHM – Prognostics and health management, Diagnostic, Fault Tolerant Control and is mainly focused on probabilistic graphical models.
  
  He is author of the book:
  Weber P., Simon C., Systems Dependability Assessment: Benefits of Bayesian Networks Models. Wiley-ISTE, 146 pages, August 2016, ISBN: 978-1-84821-992-2 - http://eu.wiley.com/WileyCDA/WileyTitle/productCd-184821992X.html
  
  Description
  The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field.
  
  Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but offers a general formalism for modeling problems under uncertainty.
  
  This book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems.
  
  Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.
  
  Table of Contents
  
  Foreword by J.-F. Aubry ix
  Foreword by L. Portinale xiii
  Acknowledgments xv
  
  Introduction xvii
  
  Part 1. Bayesian Networks 1
  
  Chapter 1. Bayesian Networks: a Modeling Formalism for System Dependability 3
  1.1. Probabilistic graphical models: BN 5
  1.1.1. BN: a formalism to model dependability 5
  1.1.2. Inference mechanism 7
  1.2. Reliability and joint probability distributions 8
  1.2.1. Multi-state system example 8
  1.2.2. Joint distribution 9
  1.2.3. Reliability computing 9
  1.2.4. Factorization 10
  1.3. Discussion and conclusion 14
  
  Chapter 2. Bayesian Network: Modeling Formalism of the Stucture Function of Boolean Systems 17
  2.1. Introduction 17
  2.2. BN models in the Boolean case 19
  2.2.1. BN model from cut-sets 20
  2.2.2. BN model from tie-sets 23
  2.2.3. BN model from a top-down approach 25
  2.2.4. BN model of a bowtie 26
  2.3. Standard Boolean gates CPT 29
  2.4. Non-deterministic CPT 31
  2.5. Industrial applications 38
  2.6. Conclusion 41
  
  Chapter 3. Bayesian Network: Modeling Formalism of the Structure Function of Multi-State Systems 43
  3.1. Introduction 43
  3.2. BN models in the multi-state case 43
  3.2.1. BN model of multi-state systems from tie-sets 44
  3.2.2. BN model of multi-state systems from cut-sets 49
  3.2.3. BN model of multi-state systems from functional and dysfunctional analysis 52
  3.3. Non-deterministic CPT 58
  3.4. Industrial applications 59
  3.5. Conclusion 62
  
  Part 2. Dynamic Bayesian Networks 65
  
  Capter 4. Dynamic Bayesian Networks: Integrating Environmental and Operating Constraints in Reliability Computation 67
  4.1. Introduction 67
  4.2. Component modeled by a DBN 69
  4.2.1. DBN model of a MC 70
  4.2.2. DBN model of non-homogeneous MC 71
  4.2.3. Stochastic process with exogenous constraint 72
  4.3. Model of a dynamic multi-state system 75
  4.4. Discussion on dependent processes 79
  4.5. Conclusion 81
  
  Chapter 5. Dynamic Bayesian Networks: Integrating Reliability Computation in the Control System 83
  (co-author: V. Puig and D. Theilliol)
  5.1. Introduction 83
  5.2. Integrating reliability information into the control 84
  5.3. Control integrating reliability modeled by DBN 85
  5.3.1. Modeling and controlling an over-actuated system 86
  5.3.2. Integrating reliability 88
  5.4. Application to a drinking water network 90
  5.4.1. DBN modeling 91
  5.4.2. Results and discussion 92
  5.5. Conclusion 95
  5.6. Acknowledgments 96
  
  Conclusion 97
  
  Bibliography 101
  Index 113
  

• ESSTIN - Maître de Conférences

  Vandoeuvre les Nancy Cedex 2004 - 2016 Responsable d'option Maintenance et Sûreté des Systèmes
  École d'ingénieurs ESSTIN

• Centre de Recherche en Automatique de Nancy (CRAN UMR 7039) - Maître de Conférences

  Vandoeuvre-les-Nancy Cedex 2000 - 2016 Participation à la rédaction d'ouvrages
  Fallet-Fidry G., Duval C., Simon C., Levrat E., Weber P., Iung B., Chapitre 14 : Maîtrise et Analyse Intégrée des Risques. Dans Supervision, surveillance et sûreté de fonctionnement des grands systèmes, Nada Matta, Yves Vandenboomgaerde, Jean Arlat eds., chapitre 14, 25 p., ISBN 978-2-7462-3840-4, Traité Information, Commande, Communication, IC2, Hermès Science Publications, Paris, 2012.
  
  Revues internationales
  Weber P., Boussaid B., Khelassi A., Theilliol D., Aubrun C., Reconfigurable control design with integration of a reference governor and reliability indicators. International Journal of Applied Mathematics and Computer Science (AMCS), 22, 1, (2012), 139–148, DOI: 10.2478/v10006-012-0010-0
  
  Weber P., Medina-Olivia G., Simon C., Iung B., Overview on Bayesian networks Applications for Dependability, Risk Analysis and Maintenance areas. Engineering Applications of Artificial Intelligence, 25, 4, June (2012), 671-682, DOI: 10.1016/j.engappai.2010.06.002
  
  Guenab F., Weber P., Theilliol D., Zhang Y.M., Optimal Design of Fault Tolerant Control System versus Reliability Analysis under Dynamic Behaviour Constraints. International Journal of Systems Science, 42, 1, (2011), 219-233.
  
  Khelassi A., D Theilliol L., Weber P., Reconfigurability Analysis for Reliable Fault-Tolerant Control Design, International Journal of Applied Mathematics and Computer Science (AMCS), 21, 3, (2011), 431-439.
  
  Poure P., Weber P., Theilliol D., Saadate S., Fault tolerant control of a three-phase three-wire shunt active filter system based on reliability analysis Original Research Article. Electric Power Systems Research, 79, 2, February (2009), 325-334, DIO : 10.1016/j.epsr.2008.07.003
  
  Simon C., Weber P., Evidential networks for reliability analysis and performance evaluation of systems with imprecise knowledge. IEEE Transactions on Reliability, 58, 1, March (2009), 69-87. DOI : 10.1109/TR.2008.2011868
  
  Leger A., Weber P., Levrat E., Duval C., Farret R., Iung B., Methodological developments for probabilistic risk analyses of socio-technical systems. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 223, 4, (2009), 313-332. DOI : 10.1243/1748006XJRR230
  
  Simon C., Weber P., Imprecise reliability by evidential networks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 223, 2, (2009), 119-131. DOI : 10.1243/1748006XJRR190
  
  Weber P., Theilliol D., Aubrun C., Component Reliability in Fault Diagnosis Decision-Making based on Dynamic Bayesian Networks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 222, 2, (2008), 161-172. DOI : 10.1243/1748006XJRR96
  
  Gama C.A., Evsukoff A.G., Weber P., Ebecken N.F., Parameter Identification of Recurrent Fuzzy Systems with Fuzzy Finite-State Automata Representation. IEEE Transactions on Fuzzy Systems, 16, 1, (2008), 213-224.
  
  Simon C., Weber P., Evsukoff A.G., Bayesian networks inference algorithm to implement Dempster Shafer theory in reliability analysis. Special Issue “Bayesian networks in dependability” guest editors Montani S. and Boudali H., in Reliability Engineering and System Safety, 93, 7, (2008), 950-963.
  DOI : 10.1016/j.ress.2007.03.012
  
  
  Revues internationales de vulgarisation
  Medina-Olivia G., Weber P., Levrat E., Iung B., Using object-oriented bayesian networks to model an industrial system: a new approach to assessing maintenance strategies. Insight Journal of INCOSE, 14, 4, (2011), 24-26. (Article court)
  
  Leger A., Levrat E., Weber P., Iung B., Duval C., Farret R., Methodology for a probabilistic risk analysis of socio-technical systems. Insight Journal of INCOSE, 11, 3, (2008), 25-26. (Article court)
  

• ESSTIN - Maître de conférences

  Vandoeuvre les Nancy Cedex 1999 - 2016

Formations

• Ecole Supérieure Des Sciences Et Technologies De L'Ingénieur

  1999 - 2041 Enseignant en Fiabilité des systèmes

• Institut National Polytechnique

  Grenoble 1996 - 1999 Thèse en automatique - productique
  
  mention très honorable

• 35e Régiment D’infanterie 35 RI

  Belfort 1995 - 1996 (Service National)

• Université Henri Poicaré - Nancy 1 UHP

  Nancy 1994 - 1995 option diagnostic
  
  mention assez bien
  
  DEA Automatique et Traitement Numérique du Signale

• Université Henri Poicaré - Nancy 1 UHP

  Nancy 1993 - 1994 option électronique
  
  mention assez bien
  
  Maîtrise : Electronique Electrotechnique et Automatique (EEA)

• Université Henri Poicaré - Nancy 1 UHP

  Nancy 1992 - 1993 Licence : Electronique Electrotechnique et Automatique (EEA)

• Université Henri Poicaré - Nancy 1 UHP

  Nancy 1991 - 1992 mention assez bien
  
  DEUG : Science des Structures de la Matière, filière Sciences Physiques pour l’Ingénieur (SPI)

• Institut Universitaire De Technologie (IUT) De Longwy IUT GEII (Nancy)

  Nancy 1989 - 1991 mention assez bien
  
  DUT : Génie Electrique et Informatique Industrielle (GEII)

Réseau

• Brahim BELHADJ

• Caroline GEHIN

• Cheng YANG

• Dominique SAUTER

• François PÉRÈS

• Jérôme RICHARD

• Julien PULICE

• Loïc GAROT

• Sébastien BURDUCHE

• Vincent SCHNEIDER