Signal processing for temperature measurement in harsh environments using diode laser absorption spectroscopy

Bo Tao, Yong Jian Zhang, Zhiyun Hu, Xinyan Zhao, Wei Fan

Research output: Contribution to conferencePaperpeer-review

Abstract

The environment of engine combustion features strong vibration, strong self luminous and large numbers of scattering particles. These factors affect the TDLAS signal quality severely, and appropriate signal processing is extremely important to improve the signal to noise ratio and the reliability of TDLAS measurement result in harsh environments. In this paper, we analyze the noise sources and their properties of TDLAS technique in engine combustion and present post signal processing method both for direct absorption and wavelength modulation techniques. The general signal processing procedures include digital filter, gross error elimination and multi-cycle averaging. For direct absorption signal, multi-peaks Lorentzian function is used to fit the line shapes. And for wavelength modulation absorption signal, the calibration-free method by extracting laser intensity and detector background signal is presented. The signal processing method is demonstrated in the harsh environments of a ground test scramjet combustor and it is suitable for developing the in-situ TDLAS sensors.

Original languageEnglish
StatePublished - 2015
Event10th Asia-Pacific Conference on Combustion, ASPACC 2015 - Beijing, China
Duration: 19 Jul 201522 Jul 2015

Conference

Conference10th Asia-Pacific Conference on Combustion, ASPACC 2015
Country/TerritoryChina
CityBeijing
Period19/07/1522/07/15

Keywords

  • Harsh environments
  • Signal processing
  • TDLAS
  • Temperature measurement

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