Stochastic Modeling of Deterioration Processes through Dynamic Bayesian Networks

• Published in: Journal of engineering mechanics Vol. 135; no. 10; pp. 1089 - 1099
• Main Author: Straub, Daniel
• Format: Journal Article
• Language: English
• Published: Reston, VA American Society of Civil Engineers 01.10.2009
• Subjects: Applied sciences; Exact sciences and technology; Fracture mechanics (crack, fatigue, damage...); Fundamental areas of phenomenology (including applications); Measurement and testing methods; Operational research and scientific management; Operational research. Management science; Physics; Reliability theory. Replacement problems; Solid mechanics; Structural and continuum mechanics; TECHNICAL PAPERS; Process dynamics; Bayes estimation; Markov process; Probabilistic approach; Stochastic processes; Rupture; Cracking; Inspection; Fatigue; Stochastic process; Real time; Modeling; Fatigue crack; Crack propagation; Model matching; Surveillance; Deterioration; Bayes network; System identification; Bayesian analysis; Monitoring

A generic framework for stochastic modeling of deterioration processes is proposed, based on dynamic Bayesian networks. The framework facilitates computationally efficient and robust reliability analysis and, in particular, Bayesian updating of the model with measurements, monitoring, and inspection...