A New Fault Diagnosis Model of Flywheel System based on Belief Rule Base and Fuzzy Fault Tree Analysis
Author:
Affiliation:
1. Harbin Normal University,Harbin,China
2. Rocket Force University of Engineering,Xi’an,China
Funder
Natural Science Foundation of Heilongjiang Province
Harbin Normal University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9693491/9693537/09693539.pdf?arnumber=9693539
Reference14 articles.
1. A Survey of Belief Rule-Base Expert System;zhou;IEEE Transactions on Systems Man and Cybernetics Systems,2019
2. Application of Fault Tree Analysis and Fuzzy Neural Networks to Fault Diagnosis in the Internet of Things (IoT) for Aquaculture
3. Application of Fuzzy Fault Tree Analysis (FFTA) to maritime industry: A risk analysing of ship mooring operation
4. A Study on Generalising Bayesian Inference to Evidential Reasoning
5. A Double Layer BRB Model for Health Prognostics in Complex Electromechanical System
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1. A Fault Diagnosis Method for Manufacturing System Based on Adaptive BRB Considering Environmental Disturbance;International Journal of Fuzzy Systems;2024-09-06
2. Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2023-02-17
3. BR-FRL: A Belief Rule-Based Fault Recognition and Location Model for Bus Network Systems;IEEE Transactions on Instrumentation and Measurement;2022
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