Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation
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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