Multi-Scale Feature Fusion Convolutional Neural Networks for Fault Diagnosis of Electromechanical Actuator

Airborne electromechanical actuators (EMAs) play a key role in the flight control system, and their health condition has a considerable impact on the flight status and safety of aircraft. Considering the multi-scale feature of fault signals and the fault diagnosis reliability for EMAs under complex...

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Autors principals:	Yutong Song, Jinhua Du, Shixiao Li, Yun Long, Deliang Liang, Yifeng Liu, Yao Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-07-01
Col·lecció:	Applied Sciences
Matèries:	fault diagnosis multi scale feature fusion convolutional neural network deep learning electromechanical actuator
Accés en línia:	https://www.mdpi.com/2076-3417/13/15/8689
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