Gas Turbine Performance Monitoring and Operation Challenges: A Review

• 主要な著者: Yousif S., Alnaimi F., Thiruchelvam S.
• その他の著者: 57211393920
• フォーマット: Review
• 出版事項: Gazi Universitesi 2024
• 主題: 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

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...