Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning
Sign Up to like & getrecommendations! Published in 2021 at "Chaos"
DOI: 10.1063/5.0038817
Abstract: We present a data-driven method for the early detection of thermoacoustic instabilities. Recurrence quantification analysis is used to calculate characteristic combustion features from short-length time series of dynamic pressure sensor data. Features like recurrence rate… read more here.
Keywords: detection thermoacoustic; early detection; combustion; thrust chamber ... See more keywords
Early Detection of Thermoacoustic Instabilities Using Hidden Markov Models
Sign Up to like & getrecommendations! Published in 2019 at "Combustion Science and Technology"
DOI: 10.1080/00102202.2018.1523900
Abstract: ABSTRACT This paper presents a dynamic data-driven method for early detection of thermoacoustic instabilities in combustors based on short-length time series of sensor data, where the objective is near-real-time monitoring and active control of pressure… read more here.
Keywords: hidden markov; detection; detection thermoacoustic; early detection ... See more keywords