Pre-trained combustion model and transfer learning in thermoacoustic instability
Z Qin, X Wang, X Han, Y Lin, Y Zhou - Physics of Fluids, 2023 - pubs.aip.org
In this paper, deep learning is involved to comprehend thermoacoustic instability more
deeply and achieve early warning more reliably. Flame images and pressure series are …
deeply and achieve early warning more reliably. Flame images and pressure series are …
[HTML][HTML] An LSTM-based approach to detect transition to lean blowout in swirl-stabilized dump combustion systems
Lean combustion is environment friendly with low NOX emissions providing better fuel
efficiency in a combustion system. However, approaching towards lean combustion can …
efficiency in a combustion system. However, approaching towards lean combustion can …
Application of Fuzzy Neural Networks in Combustion Process Diagnostics
Ż Grądz, W Wójcik, K Gromaszek, A Kotyra, S Smailova… - Energies, 2023 - mdpi.com
Coal remains one of the key raw materials used in the energy industry to generate electricity
and heat. As a result, diagnostics of the combustion process is still an important topic of …
and heat. As a result, diagnostics of the combustion process is still an important topic of …
A deep learning approach to detect lean blowout in combustion systems
Lean combustion is environment friendly with low NOx emissions and also provides better
fuel efficiency in a combustion system. However, approaching towards lean combustion can …
fuel efficiency in a combustion system. However, approaching towards lean combustion can …
Cross-Modal Virtual Sensing for Combustion Instability Monitoring
T Gangopadhyay, V Ramanan… - arXiv preprint arXiv …, 2021 - arxiv.org
In many cyber-physical systems, imaging can be an important but expensive or'difficult to
deploy'sensing modality. One such example is detecting combustion instability using flame …
deploy'sensing modality. One such example is detecting combustion instability using flame …
Reconstruction of cross-modal visual features from acoustic pressure time series in combustion systems
T Gangopadhyay - 2021 - search.proquest.com
In many cyber-physical systems, imaging can be an important but expensive ordifficult to
deploy'sensing modality. One such example is detecting combustion instability using flame …
deploy'sensing modality. One such example is detecting combustion instability using flame …
A state-of-the-art of physics-informed neural networks in engineering
PHSS Cerqueira - 2021 - pantheon.ufrj.br
Machine learning techniques have gained space in the industrial scenario as a tool to
convert the increasing flux of information (data) in process improvement. Among these …
convert the increasing flux of information (data) in process improvement. Among these …