Data-driven fault diagnosis of FW-UAVs with consideration of multiple operation conditions-Reference-Cited by-同舟云学术

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Data-driven fault diagnosis of FW-UAVs with consideration of multiple operation conditions

Published:2021-08 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Liang Shaojun,Zhang Shirong,Huang Yuping,Zheng Xing,Cheng Jian,Wu Sisi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference46 articles.

1. A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors;Guo;Neurocomputing,2018

2. Unsupervised anomaly detection in unmanned aerial vehicles;Khan;Appl Soft Comput,2019

3. UAV sensor fault detection using a classifier without negative samples: A local density regulated optimization algorithm;Guo;Sensors,2019

4. Neural adaptive observer-based sensor and actuator fault detection in nonlinear systems: Application in UAV;Abbaspour;ISA Trans,2017

5. Robust adaptive Kalman filter for estimation of UAV dynamics in the presence of sensor/actuator faults;Hajiyev;Aerosp Sci Technol,2013

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