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...

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Bibliographic Details
Main Authors: Renaud Gaudron, Aimee S. Morgans
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