DEVELOPMENT OF DRY LOW EMISSION GAS TURBINE MODEL FOR EARLY DETECTION OF LEAN BLOWOUT USING OPTIMIZED TOPOLOGY OF ARTIFICIAL NEURAL NETWORK
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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 语言: | English |
| 出版: |
2020
|
| 主题: | |
| 在线阅读: | http://utpedia.utp.edu.my/id/eprint/20514/1/Mohammad%20Haizad%20Mohd%20Tarik_16001091.pdf http://utpedia.utp.edu.my/id/eprint/20514/ |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|