An Investigation of Efficiency Issues in a Low-Pressure Steam Turbine Using Neural Modelling
This study utilizes neural networks to detect and locate thermal anomalies in low-pressure steam turbines, some of which experienced a drop in efficiency. Standard approaches relying on expert knowledge or statistical methods struggled to identify the anomalous steam line due to difficulty in captur...
Main Authors: | Marek Bělohoubek, Karel Liška, Zdeněk Kubín, Petr Polcar, Luboš Smolík, Pavel Polach |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/7/2056 |
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