Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis

Data-based intelligent fault diagnosis method is a research hotspot in modern mechanical systems. However, due to practical limitations, fault samples under all working conditions cannot be obtained, which would cause the data-based model lack of particular training data, resulting in unsatisfied te...

Full description

Bibliographic Details

Published in:	Applied soft computing Vol. 95; p. 106577
Main Authors:	Lv, Haixin, Chen, Jinglong, Pan, Tongyang, Zhou, Zitong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2020
Subjects:	Autoencoder Fault diagnosis Generative adversarial network Shipborne antenna Zero-shot classification Fault diagnosis Shipborne antenna Zero-shot classification Autoencoder Generative adversarial network
ISSN:	1568-4946
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!