Hyperelliptic Kalman filter-based aeroengine sensor fault FDIA system under multi-source uncertainty-Reference-Cited by-同舟云学术

Hyperelliptic Kalman filter-based aeroengine sensor fault FDIA system under multi-source uncertainty

Published:2023-01 Issue: Volume:132 Page:108058
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Sun Rui-Qian,Han Xiao-Bao,Chen Ying-Xue,Gou Lin-Feng

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference36 articles.

1. A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing;Roy;Comput. Methods Appl. Mech. Eng.,2011

2. Aero engine health monitoring, diagnostics and prognostics for condition-based maintenance: an overview;Rath;Int. J. Turbo Jet-Engines,2022

3. Recent research progress on airbreathing aero-engine control algorithm;Lv;Propuls. Power Res.,2022

4. FDIA system for sensors of the aero-engine control system based on the immune fusion Kalman filter;Gou;Math. Probl. Eng.,2021

5. Civil aero-engine diagnostics & health management: current status, challenges and opportunities-engine gas path, mechanical & FADEC diagnosis and prognosis;Cao;Acta Aeronaut. Astronaut. Sin.,2021

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive fault-tolerant control for spacecraft: A dynamic Stackelberg game approach with advantage actor-critic reinforcement learning;Aerospace Science and Technology;2024-11

2. Two-Stage Hyperelliptic Kalman Filter-Based Hybrid Fault Observer for Aeroengine Actuator under Multi-Source Uncertainty;Aerospace;2024-09-08

3. Robust adaptive smooth variable structure Kalman filter for spacecraft attitude estimation;Aerospace Science and Technology;2024-01

4. LPV Robust Filter Based Fault Diagnosis Method for Aeroengine Control System;Lecture Notes in Electrical Engineering;2024

5. Three-stage hyperelliptic Kalman filter for health and performance monitoring of aeroengine under multi-source uncertainty;International Journal of Engine Research;2023-11-15