Application of artificial neural network to classify fuel octane number using essential engine operating parameters

Application of artificial neural network to classify fuel octane number using essential engine operating parameters

Real-time fuel octane number classification is essential to ensure that spark ignition engines operation are free of knock at best combustion efficiency. Combustion with knock is an abnormal phenomenon which constrains the engine performance, thermal efficiency and longevity. The advance timing of t...

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書目詳細資料
主要作者:	Ghanaati, Ali
格式:	Thesis
語言:	English
出版:	2017
主題:	TJ Mechanical engineering and machinery
在線閱讀:	http://eprints.utm.my/id/eprint/81797/1/AliGhanaatiPFKM2017.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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