[HTML][HTML] A literature review of fault diagnosis based on ensemble learning
Z Mian, X Deng, X Dong, Y Tian, T Cao, K Chen… - … Applications of Artificial …, 2024 - Elsevier
The accuracy of fault diagnosis is an important indicator to ensure the reliability of key
equipment systems. Ensemble learning integrates different weak learning methods to obtain …
equipment systems. Ensemble learning integrates different weak learning methods to obtain …
[HTML][HTML] Developments and research directions in maritime cybersecurity: A systematic literature review and bibliometric analysis
Ships and maritime infrastructure are becoming increasingly interconnected as the maritime
industry is undergoing the industry 4.0 revolution. This development is associated with novel …
industry is undergoing the industry 4.0 revolution. This development is associated with novel …
An overview of fault tree analysis and its application in model based dependability analysis
S Kabir - Expert Systems with Applications, 2017 - Elsevier
Abstract Fault Tree Analysis (FTA) is a well-established and well-understood technique,
widely used for dependability evaluation of a wide range of systems. Although many …
widely used for dependability evaluation of a wide range of systems. Although many …
[HTML][HTML] A review of applications of fuzzy sets to safety and reliability engineering
Safety and reliability are rigorously assessed during the design of dependable systems.
Probabilistic risk assessment (PRA) processes are comprehensive, structured and logical …
Probabilistic risk assessment (PRA) processes are comprehensive, structured and logical …
Vulnerabilities and safety assurance methods in Cyber-Physical Systems: A comprehensive review
Abstract As Cyber-Physical Systems (CPSs) are a class of systems advancing in a number
of safety-critical application areas, it is crucial to ensure that they operate without causing …
of safety-critical application areas, it is crucial to ensure that they operate without causing …
A method for temporal fault tree analysis using intuitionistic fuzzy set and expert elicitation
Temporal fault trees (TFTs), an extension of classical Boolean fault trees, can model time-
dependent failure behaviour of dynamic systems. The methodologies used for quantitative …
dependent failure behaviour of dynamic systems. The methodologies used for quantitative …
Enhancing safety in iot systems: A model-based assessment of a smart irrigation system using fault tree analysis
The agricultural industry has the potential to undergo a revolutionary transformation with the
use of Internet of Things (IoT) technology. Crop monitoring can be improved, waste reduced …
use of Internet of Things (IoT) technology. Crop monitoring can be improved, waste reduced …
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
The complexity of industrial processes imposes a lot of challenges in building accurate and
representative causal models for abnormal events diagnosis, control and maintenance of …
representative causal models for abnormal events diagnosis, control and maintenance of …
Dynamic fault tree analysis: state-of-the-art in modeling, analysis, and tools
Safety and reliability are two important aspects of dependability that are needed to be
rigorously evaluated throughout the development life-cycle of a system. Over the years …
rigorously evaluated throughout the development life-cycle of a system. Over the years …
[HTML][HTML] Data-driven extraction and analysis of repairable fault trees from time series data
Fault tree analysis is a probability-based technique for estimating the risk of an undesired
top event, typically a system failure. Traditionally, building a fault tree requires involvement …
top event, typically a system failure. Traditionally, building a fault tree requires involvement …