Intelligent Thermal Condition Monitoring for Predictive Maintenance of Gas Turbines Using Machine Learning

Intelligent Thermal Condition Monitoring for Predictive Maintenance of Gas Turbines Using Machine Learning

Gas turbines play a crucial role in power generation and aviation, where effective maintenance strategies are essential to ensure reliability. Traditional condition monitoring methods often rely on scheduled inspections, leading to potential downtime and increased maintenance costs. This study prese...

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Bibliographic Details
Main Authors: Sadiq T. Bunyan, Zeashan Hameed Khan, Luttfi A. Al-Haddad, Hayder Abed Dhahad, Mustafa I. Al-Karkhi, Ahmed Ali Farhan Ogaili, Zainab T. Al-Sharify
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Machines
Subjects:
thermal condition monitoring
predictive maintenance
gas turbine
machine learning
XGBoost classification
fault detection
Online Access:https://www.mdpi.com/2075-1702/13/5/401
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