Fluid Flow Monitoring and Pipeline Fault Diagnosis in Three Tank Conical System Based on Capsule Neural Network
Author:
Affiliation:
1. Kongu Engineering College,Department of Electronics and Instrumentation Engineering,Erode,India,638060
2. Kongu Engineering College,Department of Computer Applications,Erode,India,638060
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307213.pdf?arnumber=10307213
Reference20 articles.
1. Study on three-phase flow characteristics of natural gas hydrate pipeline transmission;chen;Ocean Engineering,2020
2. Medium dynamic diffusion characteristics in the pipeline network of variable flow HVAC system towards online decoupling control oriented
3. Signal optimization for recognition of gas–liquid two-phase flow regimes in a long pipeline-riser system;xu;Measurement,2022
4. Artificial intelligence-based machine learning considering flow and temperature of the pipeline for leak early detection using acoustic emission
5. Identification of liquid-gas flow regime in a pipeline using gamma-ray absorption technique and computational intelligence methods
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