4.6 Article

Automatic Inference of Fault Tree Models Via Multi-Objective Evolutionary Algorithms

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Multi-level interpretable logic tree analysis: A data-driven approach for hierarchical causality analysis

Kerelous Waghen et al.

Summary: The data-driven multi-level interpretable logic tree (MILTA) approach minimizes expert involvement by explaining the relationship structure between root causes, intermediate causes, and faults with a representative dataset.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Review Engineering, Multidisciplinary

NON-DOMINATED SORTING METHODS FOR MULTI-OBJECTIVE OPTIMIZATION: REVIEW AND NUMERICAL COMPARISON

Qiang Long et al.

Summary: This study comprehensively investigated various non-dominated sorting algorithms, revealing that dominance degree sorting outperforms other methods, fast non-dominance sorting performs the worst, and the rest of the sorting algorithms perform equally.

JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION (2021)

Proceedings Paper Computer Science, Interdisciplinary Applications

DATA-DRIVEN FAULT TREE MODELING FOR RELIABILITY ASSESSMENT OF CYBER-PHYSICAL SYSTEMS

Sanja Lazarova-Molnar et al.

2020 WINTER SIMULATION CONFERENCE (WSC) (2020)

Article Computer Science, Artificial Intelligence

Interpretable logic tree analysis: A data-driven fault tree methodology for causality analysis

Kerelous Waghen et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Article Computer Science, Hardware & Architecture

A Formal Transformation Method for Automated Fault Tree Generation From a UML Activity Model

Charles E. Dickerson et al.

IEEE TRANSACTIONS ON RELIABILITY (2018)

Review Computer Science, Artificial Intelligence

An overview of fault tree analysis and its application in model based dependability analysis

Sohag Kabir

EXPERT SYSTEMS WITH APPLICATIONS (2017)

Article Computer Science, Artificial Intelligence

Causal Decision Trees

Jiuyong Li et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Impact of selection methods on the diversity of many-objective Pareto set approximations

Luis Marti et al.

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (2017)

Proceedings Paper Computer Science, Information Systems

Integrated Matrix-Based Fault Tree Generation and Evaluation

Michael Roth et al.

2015 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH (2015)

Article Computer Science, Information Systems

Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools

Enno Ruijters et al.

COMPUTER SCIENCE REVIEW (2015)

Article Engineering, Marine

An application of fuzzy fault tree analysis for spread mooring systems

Ayhan Mentes et al.

OCEAN ENGINEERING (2011)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)