Study on Digital Signal Processing of CO Temperature Measurement of Flat Flame Based on TDLAS
| Autor: | Xiaobo Tu, Meng Li, Shangwei Hu, Furong Yang, Shuang Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Materials science
Noise (signal processing) Acoustics 0202 electrical engineering electronic engineering information engineering Butterworth filter 020206 networking & telecommunications 02 engineering and technology Filter (signal processing) Combustion Digital filter Infinite impulse response Passband Temperature measurement |
| Zdroj: | ICDSP |
| DOI: | 10.1145/3408127.3408175 |
| Popis: | Accurate real-time diagnosis of the temperature of the combustion flow field is of great significance to study the combustion mechanism, improve combustion efficiency, and reduce pollution emissions. Based on TDLAS technology, this paper uses a direct absorption two-line temperature measurement method to measure the CO temperature of a flat flame. In order to improve the influence of noise on the measurement, the arithmetic average filter, IIR Butterworth filter and FIR digital filter are analyzed and discussed. Then compare the temperature obtained from the inversion with the temperature measured by the thermocouple. The research shows that the IIR Butterworth filter designed in this paper has the best filtering performance, which can ensure that the signal is not distorted during filtering, the phase of the passband range is linear, the group delay is stable, and less processor is used. The measurement temperature is the closest to the thermocouple measurement temperature, and the relative error is 0.8%. Therefore, this paper provides a reliable digital processing scheme for the measurement of CO in a flat flame, and provides a reference for the measurement of CO in a high temperature combustion field. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|