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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书目详细资料
主要作者:	Ghanaati, Ali
格式:	Thesis
语言:	English
出版:	2017
主题:	TJ Mechanical engineering and machinery
在线阅读:	http://eprints.utm.my/id/eprint/81797/1/AliGhanaatiPFKM2017.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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