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Diesel engine fuel injection monitoring using acoustic measurements and independent component analysis

This paper developed advanced data process analysis methods to implement remote monitoring and diagnosis of fuel injection processes of new alternative fuel blends using airborne acoustics which contain rich and global information of the engines. The work reflects successful long-term collaborative projects with the Institute of Acoustics in China and Manchester Metropolitan University. The research has importance and relevance in pursuing engine monitoring and in wind turbines using cost-effective acoustics methods, which has motivated several research projects currently under negotiation.