A Data Augmentation Method for Shearer Rocker Arm Bearing Fault Diagnosis Based on GA-WT-SDP and WCGAN

This work addresses the challenges of inadequate data acquisition and the limited availability of labeled samples for shearer rocker arm bearing faults by developing a data augmentation methodology that synergistically incorporates the Genetic Algorithm-optimized Wavelet Transform Symmetrical Dot Pa...

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Detalhes bibliográficos

Principais autores:	Zhaohong Wu, Shuo Wang, Chang Liu, Haiyang Wu, Jiang Yi, Yusong Pang, Gang Cheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-01-01
coleção:	Machines
Assuntos:	rearing data augmentation fault diagnosis genetic algorithms wasserstein conditional gAN
Acesso em linha:	https://www.mdpi.com/2075-1702/14/2/144
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