The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review
This study aims to review the use of artificial intelligence applications in the management of gas turbine stations and their impact on enhancing and raising the efficiency of these stations, including managing the stations themselves, then improving operational efficiency, predicting faults, and de...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2025-07-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_188001_dad0a4378ba005dd4651b63fec3a4c1b.pdf |
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| _version_ | 1849699274913218560 |
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| author | Ali Fadiel Moktar Mohamad Hafiez Khalid Younis Esham |
| author_facet | Ali Fadiel Moktar Mohamad Hafiez Khalid Younis Esham |
| author_sort | Ali Fadiel |
| collection | DOAJ |
| description | This study aims to review the use of artificial intelligence applications in the management of gas turbine stations and their impact on enhancing and raising the efficiency of these stations, including managing the stations themselves, then improving operational efficiency, predicting faults, and developing strategies for road maintenance and precautionary maintenance while reducing the cost through a methodology that is a combination. One of several methodologies describes the factors that influence the enhancement of operational efficiency and management of turbine plants using artificial intelligence applications. The quantitative methodology in collecting data and studies that included the subject and the analytical and comparative methods in comparing studies and analyzing the most critical results reached, as the article relies on an analysis of scientific literature and recent studies to clarify the potential benefits and challenges associated with the application of artificial intelligence in this field. The review discusses the artificial intelligence tools employed, including machine learning and neural networks, and highlights future innovations that may enhance the efficiency of turbine systems. The study concludes by discussing current limitations and providing recommendations for research and development in this promising field. Most studies have indicated that artificial intelligence applications play a significant role in enhancing the management of gas turbine plants, increasing operational efficiency by 3 to 5%, and reducing operating costs by 8 to 15%. |
| format | Article |
| id | doaj-art-b2201108e5cf48d9a5ca17f59db3327a |
| institution | DOAJ |
| issn | 1681-6900 2412-0758 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj-art-b2201108e5cf48d9a5ca17f59db3327a2025-08-20T03:18:38ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582025-07-0143753654510.30684/etj.2025.157633.1904188001The impact of using artificial intelligence techniques on the performance of turbine stations: A mini reviewAli Fadiel0Moktar Mohamad1Hafiez Khalid2Younis Esham3Department of Mechanical Engineering, Higher Institute of Science and Technology-Tobruk, Libya.Department of Mechanical Engineering, Higher Institute of Science and Technology-Tobruk, Libya.Department of Mechanical Engineering, Higher Institute of Science and Technology-Tobruk, Libya.Department of Mechanical Engineering, Higher Institute of Science and Technology-Tobruk, Libya.This study aims to review the use of artificial intelligence applications in the management of gas turbine stations and their impact on enhancing and raising the efficiency of these stations, including managing the stations themselves, then improving operational efficiency, predicting faults, and developing strategies for road maintenance and precautionary maintenance while reducing the cost through a methodology that is a combination. One of several methodologies describes the factors that influence the enhancement of operational efficiency and management of turbine plants using artificial intelligence applications. The quantitative methodology in collecting data and studies that included the subject and the analytical and comparative methods in comparing studies and analyzing the most critical results reached, as the article relies on an analysis of scientific literature and recent studies to clarify the potential benefits and challenges associated with the application of artificial intelligence in this field. The review discusses the artificial intelligence tools employed, including machine learning and neural networks, and highlights future innovations that may enhance the efficiency of turbine systems. The study concludes by discussing current limitations and providing recommendations for research and development in this promising field. Most studies have indicated that artificial intelligence applications play a significant role in enhancing the management of gas turbine plants, increasing operational efficiency by 3 to 5%, and reducing operating costs by 8 to 15%.https://etj.uotechnology.edu.iq/article_188001_dad0a4378ba005dd4651b63fec3a4c1b.pdfartificial intelligence applicationsgas turbinesoperational efficiencycost reductionmanagement |
| spellingShingle | Ali Fadiel Moktar Mohamad Hafiez Khalid Younis Esham The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review Engineering and Technology Journal artificial intelligence applications gas turbines operational efficiency cost reduction management |
| title | The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review |
| title_full | The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review |
| title_fullStr | The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review |
| title_full_unstemmed | The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review |
| title_short | The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review |
| title_sort | impact of using artificial intelligence techniques on the performance of turbine stations a mini review |
| topic | artificial intelligence applications gas turbines operational efficiency cost reduction management |
| url | https://etj.uotechnology.edu.iq/article_188001_dad0a4378ba005dd4651b63fec3a4c1b.pdf |
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