An embedded imaging and signal processing system for flame stability monitoring and characterisation

This paper presents the design, implementation and evaluation of an instrumentation system for flame stability monitoring and characterisation on industrial furnaces. The system, incorporating digital imaging and spectral analysis techniques, is designed to monitor a range of flame characteristic parameters. The stability of the flame is then assessed through statistical analysis of the flame parameters obtained. Embedded computer techniques are employed to ensure the system is compact and robust. Experiments were conducted on a laboratory-scale combustion test rig to evaluate the system. The impact of the air-to-fuel ratios on the stability of a gaseous flame is investigated. The results demonstrate that the system is capable of monitoring flame stability in a statistical way.