Development of a deep learning-based approach for remaining useful life prediction of turbofan engine
In recent times, there has been a growing interest in predictive maintenance for turbofan engines as it has demonstrated significant potential in improving the maintenance process. The core concept behind predictive maintenance is to predict the remaining useful life (RUL) of a system. With accurate...
Saved in:
主要作者: | Ng, Yi Hong |
---|---|
其他作者: | Chen Chun-Hsien |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2023
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/166934 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Remaining useful life prediction: from statistical modeling to federated approach
由: Gan, Xin
出版: (2022) -
Towards practical data-driven predictive maintenance: a robust and generalizable deep learning approach
由: Mohamed Ragab Mohamad Adam
出版: (2022) -
Modelling aircraft priority assignment by air traffic controllers during taxiing conflicts using machine learning
由: Vidurveer, Duggal
出版: (2022) -
Deep learning approaches for traffic prediction
由: Shao, Hongxin
出版: (2020) -
Design of jet engine component : fan blade
由: Lee, Wen Jun
出版: (2018)