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Dynamic model-assisted transferable network for liquid rocket engine fault diagnosis using limited fault samples
The accurate detection and diagnosis of faults in Liquid Rocket Engines (LREs) are critical
for ensuring space mission safety. However, the limited availability of actual fault samples …
for ensuring space mission safety. However, the limited availability of actual fault samples …
A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines
Accurate prediction of remaining useful life (RUL) is necessary to ensure stable and safe
operations for rocket engines. The paper proposed a multi-head attention network coupled …
operations for rocket engines. The paper proposed a multi-head attention network coupled …
[HTML][HTML] Artificial intelligence techniques for ground fault line selection in power systems: State-of-the-art and research challenges
F Wang, Z Zhang, K Wu, D Jian, Q Chen… - Mathematical …, 2023 - aimspress.com
In modern power systems, efficient ground fault line selection is crucial for maintaining
stability and reliability within distribution networks, especially given the increasing demand …
stability and reliability within distribution networks, especially given the increasing demand …
Airfoil design and surrogate modeling for performance prediction based on deep learning method
Q Du, T Liu, L Yang, L Li, D Zhang, Y **e - Physics of fluids, 2022 - pubs.aip.org
Airfoil design and surrogate modeling for performance prediction based on deep learning
method | Physics of Fluids | AIP Publishing Skip to Main Content Umbrella Alt Text Umbrella Alt …
method | Physics of Fluids | AIP Publishing Skip to Main Content Umbrella Alt Text Umbrella Alt …
Memory-augmented skip-connected autoencoder for unsupervised anomaly detection of rocket engines with multi-source fusion
To ensure the safety and stability of the rocket, it is essential to implement accurate anomaly
detection on key parts such as the liquid rocket engine (LRE). However, due to the indistinct …
detection on key parts such as the liquid rocket engine (LRE). However, due to the indistinct …
[HTML][HTML] Fast prediction of flow field around airfoils based on deep convolutional neural network
We propose a steady-state aerodynamic data-driven method to predict the incompressible
flow around airfoils of NACA (National Advisory Committee for Aeronautics) 0012-series …
flow around airfoils of NACA (National Advisory Committee for Aeronautics) 0012-series …
Virtual sensor-based imputed graph attention network for anomaly detection of equipment with incomplete data
For the safe operation of complex equipment, it is essential to implement accurate anomaly
detection on the key parts of equipment. However, due to the extreme conditions of the …
detection on the key parts of equipment. However, due to the extreme conditions of the …
Make the rocket intelligent at IoT edge: Stepwise GAN for anomaly detection of LRE with multisource fusion
Anomaly detection (AD) for liquid rocket engine (LRE) is essential to improve the reliability
and safety of space launch missions. However, it is difficult for existing methods to …
and safety of space launch missions. However, it is difficult for existing methods to …
Unsupervised multimodal anomaly detection with missing sources for liquid rocket engine
To achieve reliable and automatic anomaly detection (AD) for large equipment such as
liquid rocket engine (LRE), multisource data are commonly manipulated in deep learning …
liquid rocket engine (LRE), multisource data are commonly manipulated in deep learning …
[HTML][HTML] Research and development of fault diagnosis methods for liquid rocket engines
Currently, considerable efforts are being focused on the development of reusable rockets
and smart rockets due to the heavy requirements of future next-generation aerospace …
and smart rockets due to the heavy requirements of future next-generation aerospace …