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Two means can be used to improve the data acquisition rate of the electrical capacitance tomography (ECT) system with a fixed excitation frequency, i.e., improving the capacitance measurement speed or changing the capacitance measurement mode from serial to parallel. This paper presents a newly developed high-speed ECT system by combing digital recursive demodulation and parallel-mode capacitance...
Swirl injectors have been widely used in gas turbines to form the swirling flames, and thus increase the combustion efficiency. The temperature distribution of the swirling flame reflects the combustion efficiency to a large extent. In this paper, the tunable diode laser absorption spectroscopy (TDLAS)-based tomography system was developed to reconstruct the two-dimensional temperature distribution...
In this paper, one-dimensional tunable diode laser absorption spectroscopy tomography (1D-TDLAST) is employed to reconstruct the rotationally symmetric temperature distribution for the swirling flame generated by a swirl-stabilized gas turbine model combustor. The H2O transitions at 7185.597 cm−1 and 7444.36 cm−1 are used because of their moderate line strengths and good temperature sensitivities...
The present work focuses on a new method based on chemi-ionization to measure the flame flickering frequency. The flame flickering behavior was determined using the ion generation rate of the flame, characterized by measuring the saturation current with ion probe. A systematic comparative study was conducted by applying ion probe and other methods, such as flame detector, digital camera in the premixed...
In this paper, single view fan-beam tomography using tunable diode laser absorption spectroscopy (TDLAS) is introduced for measuring axisymmetric temperature distribution. Generated by a well-collimated laser through a cylindrical lens, the fan beam laser crosses the target region and is detected by seven photodiode receivers. Under the condition of axisymmetric temperature and gas concentration distribution,...
In this paper, Support Vector Machines (SVM) technique was used to identify fuel types. Flame oscillation signal were captured by a three-cell flame monitor. Thirty flame features were extracted from each flame signal. Then Principal Component Analysis (PCA) was used to choose the principal components of each features vector that represent over 99 percent variations of the features vector. An SVM...
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