On the flame spectrum recovery by using a low-spectral resolution sensor
Keywords: sensitivity, quality, size, spectrum, design, combustion, component, components, recovery, sensors, square, extraction, errors, camera, resolution, optical, computer, monitoring, vision, process, analysis, techniques, metrics, small, fit, principal, flame, goodness, of, advanced, sizes, Different, recovering, pro-cess, Root-mean
Abstract
In this paper, the Maloney-Wandell and Imai-Berns recovering spectrum techniques are evaluated to extract the continuous flame spectrum, by using three principal components from training matrices constructed from a flame's spectrum database. Six different sizes of training matrices were considered in the evaluation. To simulate the Maloney-Wandell and Imai-Bern methods, a commercial camera sensitivity was used as a base in the extraction process. The GFC (Goodness-of-fit coefficient) and RMSE (Root-mean-square error) quality metrics were used to compare the performance in the recovering process. The simulation results shown a better performance by using the Maloney-Wandell method in the recovering process, with small sizes of training matrices. The achieved results make of the recovering-spectral techniques a very attractive tools for designing advanced monitoring strategies for combustion processes. © 2011 Springer-Verlag.
Más información
Título de la Revista: | BIO-INSPIRED SYSTEMS AND APPLICATIONS: FROM ROBOTICS TO AMBIENT INTELLIGENCE, PT II |
Volumen: | 7042 |
Editorial: | SPRINGER INTERNATIONAL PUBLISHING AG |
Fecha de publicación: | 2011 |
Página de inicio: | 256 |
Página final: | 263 |
URL: | http://www.scopus.com/inward/record.url?eid=2-s2.0-81855186014&partnerID=q2rCbXpz |