Cargando…
A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion
The prognosis of the remaining useful life (RUL) of turbofan engine provides an important basis for predictive maintenance and remanufacturing, and plays a major role in reducing failure rate and maintenance costs. The main problem of traditional methods based on the single neural network of shallow...
Autores principales: | Peng, Cheng, Chen, Yufeng, Chen, Qing, Tang, Zhaohui, Li, Lingling, Gui, Weihua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827555/ https://www.ncbi.nlm.nih.gov/pubmed/33435633 http://dx.doi.org/10.3390/s21020418 |
Ejemplares similares
-
Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion
por: Peng, Cheng, et al.
Publicado: (2022) -
A Spatio-Temporal Attention Mechanism Based Approach for Remaining Useful Life Prediction of Turbofan Engine
por: Peng, Cheng, et al.
Publicado: (2022) -
Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction
por: Hong, Chang Woo, et al.
Publicado: (2020) -
Advanced Control of Turbofan Engines
por: Richter, Hanz
Publicado: (2012) -
Optimized modeling of energy and environmental metrics of mixed flow turbofan engine used regional aircraft
por: UÇAR, Ukbe Usame, et al.
Publicado: (2023)