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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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Principais autores: Yutong Song, Jinhua Du, Shixiao Li, Yun Long, Deliang Liang, Yifeng Liu, Yao Wang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-07-01
coleção:Applied Sciences
Assuntos:
fault diagnosis
multi scale
feature fusion
convolutional neural network
deep learning
electromechanical actuator
Acesso em linha:https://www.mdpi.com/2076-3417/13/15/8689
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