Detection algorithm analysis on fly ash unburnt carbon detector
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Information Engineering University,Institute of Science,Electronic Information Engineering,71781 ARMY

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    Abstract:

    Unburnt carbon detection in fly ash is the key target in fly ash using. Comparative studied three algorithms, FFT frequency domain analysis, autocorrelation, virtual digital lock-in amplification based on cross-correlation. The results show that the data of using virtual digital lock-in amplification measurement detect standard fly ash carbon content was more accurate and reliable, the deviation and variance were relatively smaller, less than 3%. Measuring the carbon content fly ash sample of 0.5%-4%, photoacoustic signal voltage value vs. carbon content was a more intuitive and clear linear relationship. Virtual digital lock-in amplifier technology can detecting the unburnt carbon content in fly ash accurately, simply and fastly . It’s great significant for energy conservation and environmental protection.

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Song Yanyan, Zhou Changlin, Pang Xueming, Dai pan. Detection algorithm analysis on fly ash unburnt carbon detector[J].,2012,27(1).

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History
  • Received:March 17,2011
  • Revised:April 26,2011
  • Adopted:April 27,2011
  • Online: August 21,2012
  • Published:
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