Machine learning-based methods in structural reliability analysis: A review
Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …
engineering. However, an accurate SRA in most cases deals with complex and costly …
Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review
S Kabir, Y Papadopoulos - Safety science, 2019 - Elsevier
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …
throughout the system life-cycle to ensure the dependability of safety-critical systems …
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network
A data-driven Bayesian network (BN) is used to investigate the effect of human factors on
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …
Application of Bayesian networks in reliability evaluation
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation
and inference and is increasingly used in the field of reliability evaluation. This paper …
and inference and is increasingly used in the field of reliability evaluation. This paper …
Evaluation of the risk of pollution caused by ship operations through bow-tie-based fuzzy Bayesian network
Ocean and marine environments face the adverse effects of climate change and
environmental pollution. Maritime transportation, one of the most severe marine pollution …
environmental pollution. Maritime transportation, one of the most severe marine pollution …
Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach
Risk analysis is regarded as one of the most critical research topics in maritime industry due
to the nature of work. Validation of risk analysis is a significant challenge for safety …
to the nature of work. Validation of risk analysis is a significant challenge for safety …
Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches
Safety analysis in gas process facilities is necessary to prevent unwanted events that may
cause catastrophic accidents. Accident scenario analysis with probability updating is the key …
cause catastrophic accidents. Accident scenario analysis with probability updating is the key …
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
In this paper, a bibliographical review over the last decade is presented on the application of
Bayesian networks to dependability, risk analysis and maintenance. It is shown an …
Bayesian networks to dependability, risk analysis and maintenance. It is shown an …
[图书][B] Bayesian methods for structural dynamics and civil engineering
KV Yuen - 2010 - books.google.com
Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …
statistical physics, medical sciences, electrical engineering, and information sciences. They …
Bayesian updating with structural reliability methods
D Straub, I Papaioannou - Journal of Engineering Mechanics, 2015 - ascelibrary.org
Bayesian updating is a powerful method to learn and calibrate models with data and
observations. Because of the difficulties involved in computing the high-dimensional …
observations. Because of the difficulties involved in computing the high-dimensional …