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FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Zhou, Anthony, Farimani, Amir Barati
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Signal Processing
Accesso online:	Acceder al recurso
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