Benefits of Bayesian Network Models

<p>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.</p> <p>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.</p> <p>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.</p> <p>Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.</p>