RUL Estimation Enhancement using Hybrid Deep Learning Methods
The turbofan engine is one of the most critical aircraft components. Its failure may introduce unwanted downtime, expensive repair, and affect safety performance. Therefore, It is essential to accurately detect upcoming failures by predicting the future behavior health state of turbofan engines as w...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2021-01-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2378 |