Thermoacoustic stability prediction using classification algorithms
Predicting the occurrence of thermoacoustic instabilities is of major interest in a variety of engineering applications such as aircraft propulsion, power generation, and industrial heating. Predictive methodologies based on a physical approach have been developed in the past decades, but have a mod...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2022-01-01
|
Series: | Data-Centric Engineering |
Subjects: | |
Online Access: | https://www.cambridge.org/core/product/identifier/S263267362200017X/type/journal_article |