IBRNet: Interpretable Belief Rule Network modeling method for fault diagnosis of redundant inertial navigation systems-Reference-Cited by-同舟云学术

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IBRNet: Interpretable Belief Rule Network modeling method for fault diagnosis of redundant inertial navigation systems

Published:2024-03 Issue: Volume:144 Page:105822
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Zhang Chunchao,Zhou Zhijie^ORCID,Ning Pengyun,Ming Zhichao,Zhang Chaoli,Fang Lingling

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference40 articles.

1. An active fault tolerance framework for uncertain nonlinear high-order fully-actuated systems;Cai;Automatica,2023

2. On the interpretability of belief rule-based expert systems;Cao;IEEE Transactions on Fuzzy Systems,2020

3. A new approximate belief rule base expert system for complex system modelling;Cao;Decision Support Systems,2021

4. BRB prediction with customized attributes weights and tradeoff analysis for concurrent fault diagnosis;Chang;IEEE Systems Journal,2021

5. Explainable data-driven optimization for complex systems with non-preferential multiple outputs using belief rule base;Chang;Applied Soft Computing,2021

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1. A Lithium Battery Health Evaluation Method Based on Considering Disturbance Belief Rule Base;Batteries;2024-04-13

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