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A comprehensive multiresolution framework for analyzing flow pattern evolution with multi-sensor data: Harnessing discrete transform and advanced computational techniques
DOI:10.1016/j.rineng.2025.106436.png)
Abstract
En 中文
• A robust wavelet framework captured multiscale transitions in flow regimes. • Five-sensor analysis unveiled spatial and temporal flow evolution with precision. • DWT coefficients differentiated turbulent, transitional, and steady states. • Histograms and statistics exposed key cA/cD trends across all regime types. • The method offers real-time flow diagnostics for critical industrial pipelines.
Keywords:
Multiphase flow
Capacitance sensors
Two-phase flow regimes
Discrete wavelet transform
Signal analysis
Flow diagnostics
Pipeline monitoring
Journal
IF:
7.9
Papers:
1.2W
Citations:
1.7W
Organization
Cited Papers
Investigating the Characteristics of Two-Phase Flow Using Electrical Capacitance Tomography (ECT) for Three Pipe Orientations
Processes
IF0
Systematic Frequency and Statistical Analysis Approach to Identify Different Gas–Liquid Flow Patterns Using Two Electrodes Capacitance Sensor: Experimental Evaluations
Energies
IF0
Multichannel Wavelet Kernel Network for High Dimensional Inverse Modeling of Microwave Filters
Electronics
IF0
A Simplified Numerical Approach to Examine the Sensitivity of Two-Electrode Capacitance Sensor Orientation to Capture Different Gas-Liquid Flow Patterns in a Small Circular Pipe
SENSORS
IF3.5

