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Combining Machine Learning, Embedded Sensor Networks and Additive Burner Design for Combustor Structural Health Monitoring
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The crystAIr project is about sensitizing burners for flame monitoring based on a discrete number of dynamic pressure sensors and a machine learning approach. The context is the development of better aircraft engines and ...
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