Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline riser using a Doppler ultrasonic sensor and deep neural networks
The problem of predicting the regime of a two-phase flow is considered. An approach is
proposed that classifies the flow regime using Deep Neural Networks (DNNs) operating on …
proposed that classifies the flow regime using Deep Neural Networks (DNNs) operating on …
[HTML][HTML] Self-supervised learning-based two-phase flow regime identification using ultrasonic sensors in an S-shape riser
Two-phase flow regime identification is an essential transdisciplinary topic that spans digital
signal processing, artificial intelligence, chemical engineering, and energy. Multiphase flow …
signal processing, artificial intelligence, chemical engineering, and energy. Multiphase flow …
[HTML][HTML] Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser
The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using
an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed …
an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed …
Development of Gas–Liquid Flow Regimes Identification Using a Noninvasive Ultrasonic Sensor, Belt-Shape Features, and Convolutional Neural Network in an S …
The problem of classifying gas–liquid two-phase flow regimes from ultrasonic signals is
considered. A new method, belt-shaped features (BSFs), is proposed for performing feature …
considered. A new method, belt-shaped features (BSFs), is proposed for performing feature …
[HTML][HTML] Pseudo-image-feature-based identification benchmark for multi-phase flow regimes
Multiphase flow is a prevalent topic in many disciplines, and flow regime identification is an
essential foundation in multiphase flow research. Computer vision and deep learning have …
essential foundation in multiphase flow research. Computer vision and deep learning have …
[PDF][PDF] Digital Chemical Engineering
abstract The problem of gas-liquid (two-phase) flow regime identification in an S-shaped
riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is …
riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is …