On-line fuel identification using optical sensors and neural network techniques

On-line coal analyzers operating on radiometric, microwave and infrared methods are available on the market [2-3]. Passive tagging techniques have also been adopted for online fuel tracking [4]. However, these systems are very expensive and require complex installation as their operations involve either taking samples from the fuel feeding system or detecting tracer particles that have been added into the fuels.