Gas Turbine Performance Monitoring and Operation Challenges: A Review

• Main Authors: Yousif S., Alnaimi F., Thiruchelvam S.
• Other Authors: 57211393920
• Format: Review
• Published: Gazi Universitesi 2024
• Subjects: Fault; Gas Turbine; Machine learning; Sensor; Swirl; Cost effectiveness; Deep learning; Gases; Learning systems; Electrical power; Gas turbine performance; Machine-learning; Operational parameters; Parameter variable; Performance; Performance-monitoring; Power; Gas turbines
• Institution: Universiti Tenaga Nasional

Gas turbines efficiently produce high amounts of electrical power hence they have been widely deployed as dependable power generators. It has been detected that the performance of gas turbines is a function of plenty of operational parameters and environmental variables. The impacts of those variabl...