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| Research on Gas-Solid Two-Phase Flow Detection Method Based on Audio Signal |
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Abstract By utilizing the characteristic that the audio signal generated by gas-solid two-phase flow in pipeline flow contains a large amount of fluid information, the audio signal is introduced into gas-solid two-phase flow detection. A detection method for gas-solid two-phase flow classification based on audio signals is proposed, and the feasibility of audio signals in gas-solid two-phase flow detection is demonstrated. Wavelet packet analysis is used for multi-scale analysis of audio signals, and its denoising effect is better than the ensemble empirical mode decomposition reconstruction method. Select Mel frequency cepstral coefficients (MFCCs) as features from the reconstructed audio signal and input them into a Long Short Term Memory (LSTM) recurrent neural network. The experimental results indicate that the amplitude of the audio signal collected in the rising section of the bend in gas-solid two-phase flow is larger, making it suitable for installing sampling equipment. The detection method has a good classification effect on the gas-solid two-phase flow of six flow states in the experiment, with an accuracy rate of 96.11%.
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Received: 08 January 2024
Published: 19 March 2025
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WEN Zhiqiang, YUN Enxue, SUN Siyu, YANG Tenghui, WANG Bisong, WANG Leigang, LUO Xin, XU Jin, SUN Bingfeng, LI Wenbing, HAO Qiang. A Power Stabilized Low Noise Frequency Synthesizer for CPT Atomic Clocks[J]. Acta Metrologica Sinica, 2025, 46(2): 267-273. |
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2025, Vol. 46 
