Remaining useful life prediction using an integrated Laplacian-LST< network on machinery components
Accurate remaining useful life (RUL) analysis of a machinery system is of great importance. Such systems work in long-term operations in which unexpected failures often occur. Due to the rapid development of computer technology, the deep learning model has supplanted physical-based RUL analysis. The...
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Main Authors: | Mohd. Saufi, M. S. R., Hassan, K. A. |
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Format: | Article |
Published: |
Elsevier Ltd.
2021
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Online Access: | http://eprints.utm.my/id/eprint/94973/ http://dx.doi.org/10.1016/j.asoc.2021.107817 |
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