Demonstrating Aleatoric Uncertainty in Remaining Useful Life Prediction Using LSTM with Probabilistic Layer
A Remaining Useful Life prediction with Aleatoric uncertainty is presented in this paper.A Long Short-Term Memory (LSTM) architecture with probabilistic layer is employed where a normal distribution layer is incorporated to produce the predicted Health Index (HI) distribution of turbofan engines.Com...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
2023
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| オンライン･アクセス: | http://scholars.utp.edu.my/id/eprint/34233/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140712927&doi=10.1007%2f978-981-19-1939-8_41&partnerID=40&md5=0e65bc95401b898dd0ecdc244a7d409f |
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