Gearbox fault diagnosis based on Gramian angular field and TLCA-MobileNetV3 with limited samples

Gearbox fault diagnosis based on traditional deep learning often needs a large number of samples. However, the gearbox fault samples are limited in practical engineering, which could lead to poor diagnosis performance. Based on the above problems, this paper proposes a gearbox fault diagnosis method...

Full description

Bibliographic Details

Published in:	International Journal of Metrology and Quality Engineering
Main Authors:	Dou Shuihai, Cheng Xuemin, Du Yanping, Wang Zhaohua, Liu Yuxin
Format:	Article
Language:	English
Published:	EDP Sciences 2024-01-01
Subjects:	gearbox fault diagnosis gramian angular field tlca-mobilenetv3 varying working conditions cross component limited samples
Online Access:	https://www.metrology-journal.org/articles/ijmqe/full_html/2024/01/ijmqe230043/ijmqe230043.html