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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...

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主要作者:	MOHD TARIK, MOHAMMAD HAIZAD
格式:	Thesis
语言:	English
出版:	2020
主题:	TK Electrical engineering. Electronics Nuclear engineering
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/
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