Investigation of alternative attention modules in transformer models for remaining useful life predictions: addressing challenges in high-frequency time-series data

Boos, Eugen; Zimmermann, Jan; Wiemer, Hajo; Ihlenfeldt, Steffen

doi:10.1016/j.procir.2024.01.012

Procedia CIRP

2024

DOI: 10.1016/j.procir.2024.01.012

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Investigation of alternative attention modules in transformer models for remaining useful life predictions: addressing challenges in high-frequency time-series data

Eugen Boos,

Jan Zimmermann,

Hajo Wiemer

et al.

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Investigation of alternative attention modules in transformer models for remaining useful life predictions: addressing challenges in high-frequency time-series data

Cited by 1 publication

References 15 publications

Optimization and imputation of acoustic absorption sequence prediction for transversely isotropic porous materials: A MultiScaleCNN-Transformer-PSO model approach

Optimization and imputation of acoustic absorption sequence prediction for transversely isotropic porous materials: A MultiScaleCNN-Transformer-PSO model approach

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