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. Author ...
To solve the above challenging issues, a cross-domain adaptation method based on deep transferable metric learning is proposed for bearing RULs prediction.
Dec 11, 2023 · Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors.
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors · Jichao Zhuang ...
Jan 12, 2022 · In this paper, a novel method called deep transfer metric learning for kernel regression (DTMLKR) is proposed and applied to the RUL prediction ...
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 ...
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors · Jichao Zhuang ...
Remaining useful life (RUL) estimation is one of the most important component in prognostic health management (PHM) system in modern industry.