@inproceedings{5490f492a1ce4082ba22beb52d22f154,
title = "COMBINING MACHINE LEARNING, EMBEDDED SENSOR NETWORKS AND ADDITIVE BURNER DESIGN FOR COMBUSTOR STRUCTURAL HEALTH MONITORING",
keywords = "Combustion monitoring, large datasets, miniature fast pressure probe, multi-sensing, Recursive Sequential Combustion, signal processing, unsupervised machine learning",
author = "Fabrice Giuliani and Nina Paulitsch and Andrea Hofer and Vojislav Petrovic-Filipovic and Benjamin Meier and Werner Bailer and Martin Winter and Roland Unterberger and Alexander Schricker",
note = "Publisher Copyright: {\textcopyright} 2024 by ASME.; 69th ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, GT 2024 ; Conference date: 24-06-2024 Through 28-06-2024",
year = "2024",
doi = "10.1115/GT2024-127925",
language = "English",
series = "Proceedings of the ASME Turbo Expo",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "Controls, Diagnostics, and Instrumentation",
address = "United States",
}