LAUSR

Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3187702

Abstract: This paper proposes a novel deep learning architecture for estimating the remaining useful lifetime (RUL) of industrial components, which solely relies on the recently developed transformer architectures. The RUL estimation resorts to analysing degradation patterns… read more here.

Keywords: remaining useful; attention; useful lifetime; transformer ... See more keywords