Ian Jenkinson

TL;DR: The study demonstrates that the belief rule based system is flexible, can be adapted to represent complicated expert systems, and is a valid novel approach for pipeline leak detection.

TL;DR: The primary aim of this paper is to establish and model the various parameters responsible for the failure rate of a system, using Bayesian network modelling, in order to apply it to a delay-time analysis study.

TL;DR: This paper shows that Reason's "Swiss cheese" model and BN can be jointly used in offshore safety assessment and enhances the five-level conceptual model is enhanced by BNs that are capable of providing graphical demonstration of inter-relationships as well as calculating numerical values of occurrence likelihood for each failure event.

TL;DR: In this paper, a subjective generic methodology for providing ship owners with a transparent evaluation tool for selecting their preferred NOx and SOx control techniques is developed, based on data collected from shipping companies, shipyards and maritime academies.

TL;DR: In this article, a fuzzy Bayesian network (FBN) approach is proposed to model causal relationships among risk factors, which may cause possible accidents in offshore operations, and a case study of the collision risk between a floating production, storage and offloading unit and the authorized vessels due to human errors during operation is used to illustrate the application of the proposed model.