Towards parallel, 192 channel, 40MS/s/ch data acquisition for optical tomography: A system for aero-engine exhaust emission diagnostics

E. Fisher*, S-A. Tsekenis, Y. Yang, T. Ouypornkochagorn, A. Chighine, N. Polydorides, P. Wright, H. McCann

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To investigate novel engine and fuel designs for greener aviation, instrumentation is required that can spatially and temporally resolve gas concentrations within aero-engine exhausts. This paper presents work towards a parallel, high-speed, distributed data acquisition (DAQ) system that employs in-situ demodulation of tunable diode laser absorption spectroscopy (TDLAS) signals. We briefly describe how this sits within a wider tomographic instrument, the electrical system of this scalable design and preliminary characterization. Being remote from the end-user (approx. 60m) and deployed within an industrial environment, we have used a hierarchical, embedded strategy. This uses photodiode pre-amplification, filtering, digitization, signal demodulation, Ethernet packaging and microprocessor control implemented both on a multi-node, distributed basis and with the DAQ physically mounted on the same mechanical 'ring' as the tomographic imaging array. Results show agreement with design but indicate that the first-generation interrupt-based direct-memory-access (DMA) between FPGA fabric memory and microprocessor memories is the predominant bottleneck.

Original languageEnglish
Title of host publicationIEEE SENSORS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1302-1304
Number of pages3
Volume2017-December
ISBN (Electronic)9781509010127
DOIs
Publication statusPublished - 21 Dec 2017
Event16th IEEE SENSORS Conference, ICSENS 2017 - Glasgow, United Kingdom
Duration: 30 Oct 20171 Nov 2017

Publication series

NameIEEE Sensors
PublisherIEEE
ISSN (Print)1930-0395

Conference

Conference16th IEEE SENSORS Conference, ICSENS 2017
CountryUnited Kingdom
CityGlasgow
Period30/10/171/11/17

Keywords

  • Chemical Species Tomography
  • Data Acquisition
  • TDLAS
  • Tunable Diode Laser Absorption Spectroscopy

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