Combustion Field Prediction and Diagnosis via Spatiotemporal Discrete U-ConvLSTM Model

Combustion Field Prediction and Diagnosis via Spatiotemporal Discrete U-ConvLSTM Model

Considering the importance of combustion diagnosis in industrial manufacturing and many fields, efficient, quick, and real-time multidimensional reconstruction is necessary and indispensable. Hence, focusing on the combustion field dynamic and multi-dimensional reconstruction, a modified U-ConvLSTM...

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Bibliographic Details
Main Authors: Xiaodong Huang, Xiaojian Hao, Baowu Pan, Shaogang Chen, Shenxiang Feng, Pan Pei
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
Subjects:
Tunable diode laser absorption spectroscopy (TDLAS)
U-model convolutional long short-term memory (U-ConvLSTM)
combustion site
reconstruction
predicted
Online Access:https://ieeexplore.ieee.org/document/10457001/

Internet

https://ieeexplore.ieee.org/document/10457001/

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