Data-driven lean blowout prediction based on industrial dry low emission gas turbine dataset...

Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine

AA Bahashwan, R Ibrahim, M Omar… - Expert Systems with …, 2024 - Elsevier
Current dry low emission (DLE) gas turbines have extremely low nitrogen oxides (NOx)
emissions, allowing them to comply with stringent environmental regulations. The ultra-low …
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Real-time uav system integration for fire detection and classification

MB Omar, R Ibrahim, K Bingi… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Early and efficient smoke/fire detection is vital in ensuring the quick arrival and action of the
emergency response team. This is to ensure minimal damage is taken by the facility …
被引用次数：1 相关文章

Lube Based Oil Unit Anomaly Limit Prediction using Decision Tree Classification Model

NIB Abdullah, AHBH Bidin, MB Omar… - … on Automatic Control …, 2024 - ieeexplore.ieee.org
The replication of human thinking by technology, including computer systems, is known as
artificial intelligence (AI). The rise of AI can certainly help plant operations. In the past …
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Gas turbine combustion profile modelling for predictive maintenance using am artificial neural network

RB d Ibrahim - Sustainable Processes and Clean Energy …, 2023 - books.google.com
Dry Low Emission (DLE) gas turbine has been developed as a solution to encounter the
harmful high NOx emission from conventional gas turbine. However, it is prone to create a …
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Gas turbine combustion profile modelling for predictive maintenance using an artificial neural network

BO MADIAH, F MOCHAMMAD, AMJ FARAH… - Materials Research … - mrforum.com
Dry Low Emission (DLE) gas turbine has been developed as a solution to encounter the
harmful high NOx emission from conventional gas turbine. However, it is prone to create a …
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