Passive acoustic identification of bubble flow regime based on s ynchrosqueezing wavelet transform and deep learning
Author:
Affiliation:
1. College of Energy Engineering Zhejiang University Hangzhou China
2. State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou China
Publisher
Wiley
Subject
General Chemical Engineering,Environmental Engineering,Biotechnology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17200
Reference39 articles.
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3. Flow Regime and Its Transition
4. Identification of gas‐liquid flow regimes using a non‐intrusive Doppler ultrasonic sensor and virtual flow regime maps;Nnabuife SG;Flow Meas Instrum,2019
5. Flow regime transitions in a bubble column;Tchowa Medjiade W;Chem Eng Sci,2017
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