Systems dependability assessment set coordinated by Jean François Aubry ; volume 2: Benefits of Bayesian network models 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. Introduction Bayesian networks Bayesian networks: a modeling formalism for system dependability Bayesian network: modeling formalism of the structure function of Boolean systems Bayesian network: modeling formalism of the structure function of multi state systems Dynamic Bayesian networks Dynamic Bayesian networks: integrating environmental and operating constraints in reliability computation Dynamic Bayesian networks: integrating reliability computation in the control system Conclusion