Ya-jing JIANG, Jun-ling SONG, Wei RAO, Kai WANG, Deng-cheng LOU, Jian-yu GUO. Rapid Measurement of Integrated Absorbance of Flow Field Using Extreme Learning Machine[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1346
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 5, 1346 (2022)
Fig. 1. Extreme learning machine algorithm single hidden layer feedforward neural network
Fig. 2. Schematic diagram of the machine learning and prediction procedures
Fig. 3. Temperature and concentration Gaussian distribution model
(a): Temperature distribution; (b): Concentration distribtion
(a): Temperature distribution; (b): Concentration distribtion
Fig. 4. Flow field fan light layout
Fig. 5. Test set error
Fig. 6. Test set determination factor
Fig. 7. Integrated absorbance prediction error of harmonic signal S 2f/ 1f added to noise
Fig. 8. Direct-connected scramjet flow field parallel light layout
Fig. 9. Schematic diagram of the measurement system of the direct-connected scramjet
(a): Direct-connected superesonic combustion test bed; (b): TDLAS measurement system
(a): Direct-connected superesonic combustion test bed; (b): TDLAS measurement system
Fig. 10. Frequency division multiplexing wavelength modulated absorption signal
Fig. 11. Time sequence of Experiment
Fig. 12. Experimental integral absorbance prediction results
Fig. 13. Flow field temperature variation with time
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Table 1. Model parameter design
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