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...

Celý popis

Podrobná bibliografie

Vydáno v:	Applied soft computing Ročník 95; s. 106577
Hlavní autoři:	Lv, Haixin, Chen, Jinglong, Pan, Tongyang, Zhou, Zitong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2020
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!