Stochastic modeling of deterioration processes through dynamic Bayesian networks

@inproceedings{Straub2012StochasticMO,
  title={Stochastic modeling of deterioration processes through dynamic Bayesian networks},
  author={Daniel Straub},
  year={2012}
}
A generic framework for stochastic modeling of deterioration processes is proposed, based on dynamic Bayesian networks (DBN). The framework facilitates computationally efficient and robust reliability analysis and, in particular, Bayesian updating of the model with measurements, monitoring and inspection results. These properties make it ideally suited for near-real time applications in asset integrity management and deterioration control. The framework is demonstrated and investigated through… CONTINUE READING
Highly Cited
This paper has 37 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

Performance evaluation of smart systems under uncertainty

2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) • 2017
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 40 references

A simple second order approximation for stochastic crack growth analysis

J. N. Yang, S. D. Manning
Engineering Fracture Mechanics, • 1996
View 6 Excerpts
Highly Influenced

probabilistic reasoning in intelligent systems: networks of plausible inference san mateo

Morgan Kaufmann series in representation and reasoning • 1988
View 4 Excerpts
Highly Influenced

Risk Based Structural Integrity Management Using Bayesian Probabilistic Nets

R Montes-Iturrizaga
Journal of Offshore Mechanics and Arctic Engineering Transactions of the ASME, • 2009

Stochastic modeling of deterioration processes through DBN 32 / 32 Melchers , R . E . , Corrosion Uncertainty Modelling for Steel Structures

R. G. Mishalani
Journal of Constructional Steel Research • 2009

Bayesian networks in reliability

Rel. Eng. & Sys. Safety • 2007
View 2 Excerpts

Stochastic modeling of fatigue crack growth

K. Ortiz, A. S. Kiremidjian
Statistics and Computing • 2007

A Bayesian belief network model of bridge deterioration

N. O. Attoh-Okine, S. Bowers
Bridge Engineering, • 2006
View 1 Excerpt

Similar Papers

Loading similar papers…