DEVELOPMENT OF DRY LOW EMISSION GAS TURBINE MODEL FOR EARLY DETECTION OF LEAN BLOWOUT USING OPTIMIZED TOPOLOGY OF ARTIFICIAL NEURAL NETWORK

• المؤلف الرئيسي: MOHD TARIK, MOHAMMAD HAIZAD
• التنسيق: أطروحة
• اللغة: English
• منشور في: 2020
• الموضوعات: TK Electrical engineering. Electronics Nuclear engineering
• الوصول للمادة أونلاين: http://utpedia.utp.edu.my/id/eprint/20514/1/Mohammad%20Haizad%20Mohd%20Tarik_16001091.pdf; http://utpedia.utp.edu.my/id/eprint/20514/

The wide adoption of gas turbines in the energy industry has led to the introduction of dry low emission mode to curb gas turbine’s nitrogen oxide emission. However, this causes the flame to become unstable and prone to extinction which is known as lean blowout. Current techniques available in the l...