Assessment of flame stability through a convolutional denoising autoencoder and statistical analysis

Flame stability assessment is essential for optimizing combustion operation and improving combustion quality. However, an accurate and reliable assessment of stability is difficult, heavily relying on prior expert knowledge and massive labeled data. This study proposes a novel method for flame stabi...

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Veröffentlicht in:	Combustion and flame Jg. 258; S. 113069
Hauptverfasser:	Han, Zhezhe, Tang, Xiaoyu, Hossain, Md. Moinul, Xu, Chuanlong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.12.2023
Schlagworte:	Convolutional denoising autoencoder Flame image Flame stability Stability index Statistical analysis Flame image Statistical analysis Flame stability Convolutional denoising autoencoder Stability index
ISSN:	0010-2180
Online-Zugang:	Volltext
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