Flame state recognition method of a scramjet based on PLIF image fusion features and an artificial neural network

In this study, a pattern recognition model is proposed to differentiate the flame state of a scramjet using an artificial neural network. The flame images are obtained from a scramjet ground test utilizing planar laser-induced fluorescence (PLIF). By extracting basic features, Hu moments and Zernike...

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Veröffentlicht in:	Optics continuum 2024-03, Vol.3 (3), p.338
Hauptverfasser:	Gao, Long, Peng, Jiangbo, Yu, Xin, Cao, Zhen, Han, Minghong, Wu, Guohua, Yuan, Xun
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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