RAAN: A Gaussian Prior Domain Adaptive Network for Rolling Bearing Fault Diagnosis Under Variable Working Conditions

In the field of fault diagnosis for rolling bearings under variable working conditions, significant progress has been made using methods based on unsupervised domain adaptation (UDA). However, most existing UDA methods primarily achieve identification by directly aligning the distributions of the so...

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Bibliografski detalji

Glavni autori:	Kang Liu, Yang Yu, Yuanjiang Li, Tao Lang, Ruochen Liu
Format:	Artigo
Jezik:	Inglês
Izdano:	Tsinghua University Press 2025-03-01
Serija:	Complex System Modeling and Simulation
Teme:	domain adaptation indirect potential alignment rolling bearings variable operating conditions fault diagnosis
Online pristup:	https://www.sciopen.com/article/10.23919/CSMS.2024.0026
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