Fusing fleet in-service measurements using Bayesian networks

Application of Bayesian Networks in Reliability Evaluation

“…In the literature, only the first type of method for the BN structure modeling of hardware, which is knowledge representation, is used in structural reliability research. For example, Groden and Collette [52] proposed a BN-based framework for updating the structural performance and reliability of marine structures; fatigue, probabilistic, and permanent set models were integrated into single BNs artificially, and the possible values of various distributions in these models were represented by the nodes of the BNs. Hackl and Kohler [53] proposed a DBN-based evaluation methodology for the structural reliability of reinforced concrete structures, focusing on degradation caused by corrosion; the structure of the BNs was constructed by transforming the parameters in corrosion and structural models into the nodes of the BNs and the causal relationships between the parameters of the models into the edges of the BNs.…”

“…For the second type of method, Lee et al [56] validated a structural reliability analysis methodology for stress corrosion crack growth by using Bayesian hypothesis testing and simulated inspection data. Groden and Collette [52] used synthetic inspection data generated by Monte Carlo simulation to validate a BN-based framework for updating structural performance and reliability of marine structures. Regarding the last type of method, Mahadevan et al [58] validated the proposed BN-based structural system reliability evaluation methodology by comparing its results with those of traditional reliability methods.…”

Application of Bayesian Networks in Reliability Evaluation

“…1) BN Structure Modeling: In the literature, only the first type of method for the BN structure modeling of hardware, which is knowledge representation, is used in structural reliability research. For example, Groden and Collette [52] proposed a BN-based framework for updating the structural performance and reliability of marine structures; fatigue, probabilistic, and permanent set models were integrated into single BNs artificially, and the possible values of various distributions in these models were represented by the nodes of the BNs. Hackl and Kohler [53] proposed a DBN-based evaluation methodology for the structural reliability of reinforced concrete structures, focusing on degradation caused by corrosion; the structure of the BNs was constructed by transforming the parameters in corrosion and structural models into the nodes of the BNs and the causal relationships between the parameters of the models into the edges of the BNs.…”

Through-life hybrid fatigue assessment of naval ships

“…That is, real-world experience is utilised for continuous validation of the predictive model. Ships provide a number of innate indicators of degradation, such as cracks, that can be taken as a record of the structural condition(Groden and Collette 2017). Therefore, the validity of the updated (predicted) fatigue life is established via comparison to hull survey reports.Feedback can then be provided to the operator.…”