Remaining Useful Life Prediction via a Data-Driven Deep Learning Fusion Model-CALAP

Remaining Useful Life Prediction via a Data-Driven Deep Learning Fusion Model-CALAP

As one of the key technologies in the field of Prognostic and Health Management (PHM), Remaining Useful Life (RUL) prediction technology plays an important role in equipment health maintenance and fault detection. For complex devices, the degradation process of the remaining useful life of the devic...

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Bibliographic Details
Main Authors: Mingyan Wu, Qing Ye, Jianxin Mu, Zuyu Fu, Yilin Han
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
RUL prediction
convolutional neural networks (CNN)
convolutional block attention module (CBAM)
long short-term memory (LSTM)
attention mechanism
turbofan engine
Online Access:https://ieeexplore.ieee.org/document/10273993/

Internet

https://ieeexplore.ieee.org/document/10273993/

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