Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors. Author links ...
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors.
To solve the above challenging issues, a cross-domain adaptation method based on deep transferable metric learning is proposed for bearing RULs prediction.
To solve above challenges, a transferable cross-domain approach based on deep transferable metric learning for RUL estimation is proposed. The hidden ...
Jan 12, 2022 · Zhuang et al. [19] realized RUL estimation under variable fa ilure behaviors via transferable multi-kernel maximum mean discrepancy and ...
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors · Jichao Zhuang ...
To address the above problems, this paper proposed a RUL prediction method based on a transfer multi-stage shrinkage attention temporal convolutional network ...
Remaining useful life prediction based on transfer multi-stage shrinkage ...
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Zhuang, Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors ...
Remaining useful life (RUL) estimation is one of the most important component in prognostic health management (PHM) system in modern industry.
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors · Engineering, ...