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

• Main Author: Ghanaati, Ali
• Format: Thesis
• Language: English
• Published: 2017
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/81797/1/AliGhanaatiPFKM2017.pdf; http://eprints.utm.my/id/eprint/81797/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:125970
• Institution: Universiti Teknologi Malaysia

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...