Vision system for combustion analysis and diagnosis in gas turbines

Giancarlo Sassi; Franco Corbani; Mario Graziadio; Giuliano Novelli

doi:10.1117/12.221001

20 September 1995 Vision system for combustion analysis and diagnosis in gas turbines

Giancarlo Sassi, Franco Corbani, Mario Graziadio, Giuliano Novelli

Proceedings Volume 2506, Air Pollution and Visibility Measurements; (1995) https://doi.org/10.1117/12.221001
Event: European Symposium on Optics for Environmental and Public Safety, 1995, Munich, Germany

Abstract

This paper describes the flame vision system developed by CISE, on behalf of Thermical Research Division of ENEL, allowing a non-intrusive analysis and a probabilistic classification of the combustion process inside the gas turbines. The system is composed of a vision probe, designed for working in hostile environments and installed inside the combustion chamber, an optical element housing a videocamera, and a personal computer equipped with a frame grabber board. The main goal of the system is the flames classification in order to evaluate the occurrency of deviation from the optimal combustion conditions and to generate warning messages for power plant personnel. This is obtained by comparing some geometrical features (baricenter, inertia axes, area, orientation, etc.) extracted from flame area of images with templates found out during the training stage and classifying them in a probabilistic way by using a Bayesian algorithm. The vision system, now at the test stage, is intended to be a useful tool for combustion monitoring, has turbines set-up, periodic survey, and for collecting information concerning the burner efficiency and reliability; moreover the vision probe flexibility allows other applications as particle image velocimetry, spectral and thermal analysis.

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Giancarlo Sassi, Franco Corbani, Mario Graziadio, and Giuliano Novelli "Vision system for combustion analysis and diagnosis in gas turbines", Proc. SPIE 2506, Air Pollution and Visibility Measurements, (20 September 1995); https://doi.org/10.1117/12.221001

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KEYWORDS

Combustion

Classification systems

Image processing

Sensors

Analytical research

Frame grabbers

Infrared sensors

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