Measurement of gas volume fraction in gas-liquid two-phase flow using arrayed fiber-optic probes combined with the PSO-BP-AdaBoost algorithm

•Proposed a strategy for gas fraction measurement using arrayed fiber-optic probes and neural networks.•Optimizes the structure of arrayed fiber-optic probes to enhance gas phase detection performance.•Constructs a gas phase volume fraction prediction model via the PSO-BP-AdaBoost algorithm.•PSO-BP-...

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Veröffentlicht in:	Optical fiber technology Jg. 93; S. 104264
Hauptverfasser:	Xing, Wenju, Gao, Hong, Qiao, Xueguang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.09.2025
Schlagworte:	Adaptive boosting algorithm Arrayed fiber-optic probes Backpropagation neural network Gas volume fraction Particle swarm optimization algorithm Adaptive boosting algorithm Backpropagation neural network Gas volume fraction Arrayed fiber-optic probes Particle swarm optimization algorithm
ISSN:	1068-5200
Online-Zugang:	Volltext
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