Application of CHMMs to two-phase flow pattern identification

Author:

Mahvash Ali,Ross Annie

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference14 articles.

1. Orthogonal Transforms for Digital Signal Processing;Ahmed,1975

2. Condition-based maintenance of machines using hidden Markov models;Bunks;Mechanical Systems & Signal Processing,2000

3. Slug flow regime identification from dynamic void fraction measurements in vertical air–water flows;Costigan;International Journal of Multiphase Flow,1997

4. Tool wear condition monitoring in drilling operations using hidden Markov models;Ertunc;International Journal of Machine Tools & Manufacture,2001

5. Hidden Markov model analysis of force/torque information in telemanipulation;Hannaford;The International Journal of Robotics Research,1991

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2. Two-phase flow pattern classification based on void fraction time series and machine learning;Flow Measurement and Instrumentation;2022-03

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4. Data-Driven Modelling of Fast Slug Flows in Micro-channels;Lecture Notes in Control and Information Sciences - Proceedings;2022

5. Combined APSO-ANN and APSO-ANFIS models for prediction of pressure loss in air-water two-phase slug flow in a horizontal pipeline;Journal of Hydroinformatics;2020-11-06

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