UAV Actuator Fault Detection using Maximal Information Coefficient and 1-D Convolutional Neural Network

Wang, Na; Ren, Jie; Luo, Yue; Guo, Kai; Liu, Datong

doi:10.1109/phm-nanjing52125.2021.9613071

2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing) 2021

DOI: 10.1109/phm-nanjing52125.2021.9613071

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UAV Actuator Fault Detection using Maximal Information Coefficient and 1-D Convolutional Neural Network

Na Wang¹,

Jie Ren²,

Yue Luo³

et al.

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Cited by 3 publications

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UAV Actuator Fault Detection using Maximal Information Coefficient and 1-D Convolutional Neural Network

Cited by 3 publications

References 12 publications

Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs

Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs

Design of a multi-component system-based fixed-wing unmanned aerial vehicle maintenance policy and its case study

Deep Learning-Assisted Unmanned Aerial Vehicle Flight Data Anomaly Detection: A Review

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