Self-attention transformer-based architecture for remaining useful life estimation of complex machines

A Wahid, M Yahya, JG Breslin, MA Intizar - Procedia Computer Science, 2023 - Elsevier
Meaningful feature extraction from multivariate time-series data is still challenging since it
takes into account the correlation between pairs of sensors as well as the temporal …
被引用次数：11 相关文章
[PDF] johnbreslin.com

[PDF][PDF] Self-Attention Transformer-Based Architecture for Remaining Useful Life Estimation of Complex Machines

A Wahida, M Yahyaa, JG Breslina… - Procedia Computer …, 2023 - johnbreslin.com
Meaningful feature extraction from multivariate time-series data is still challenging since it
takes into account the correlation between pairs of sensors as well as the temporal …

Self-Attention Transformer-Based Architecture for Remaining Useful Life Estimation of Complex Machines

A Wahid, M Yahya, JG Breslin, MA Intizar - 2023 - dl.acm.org
Meaningful feature extraction from multivariate time-series data is still challenging since it
takes into account the correlation between pairs of sensors as well as the temporal …
[PDF] researchgate.net

[PDF][PDF] Self-Attention Transformer-Based Architecture for Remaining Useful Life Estimation of Complex Machines

A Wahida, M Yahyaa, JG Breslina… - Procedia Computer …, 2023 - researchgate.net
Meaningful feature extraction from multivariate time-series data is still challenging since it
takes into account the correlation between pairs of sensors as well as the temporal …