SRMANet: Toward an Interpretable Neural Network with Multi-Attention Mechanism for Gearbox Fault Diagnosis

Deep neural network (DNN), with the capacity for feature inference and nonlinear mapping, has demonstrated its effectiveness in end-to-end fault diagnosis. However, the intermediate learning process of the DNN architecture is invisible, making it an uninterpretable black-box model. In this paper, a...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Siyuan Liu, Jinying Huang, Jiancheng Ma, Jia Luo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-08-01
coleção:	Applied Sciences
Assuntos:	machine fault diagnosis universal feature extractor convolutional neural network attention fusion interpretability planetary gearbox
Acesso em linha:	https://www.mdpi.com/2076-3417/12/16/8388
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!