A novel time delay estimation algorithm of acoustic pyrometry for furnace
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ID: 283035
2021
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Abstract
Acoustic pyrometry is a non-contact measurement technology for monitoring
furnace combustion reaction, diagnosing energy loss due to incomplete
combustion and ensuring safe production. The accuracy of time of flight (TOF)
estimation of an acoustic pyrometry directly affects the authenticity of
furnace temperature measurement. In this paper presented is a novel TOF (i.e.
time delay) estimation algorithm based on digital lock-in filtering (DLF)
algorithm. In this research, the time-frequency relationship between the first
harmonic of the acoustic signal and the moment of characteristic frequency
applied is established through the digital lock-in and low-pass filtering
techniques. The accurate estimation of TOF is obtained by extracting and
comparing the temporal relationship of the characteristic frequency occurrence
between received and source acoustic signals. The computational error analysis
indicates that the accuracy of the proposed algorithm is better than that of
the classical generalized cross-correlation (GCC) algorithm, and the
computational effort is significantly reduced to half of that the GCC can
offer. It can be confirmed that with this method, the temperature measurement
in furnaces can be improved in terms of computational effort and accuracy,
which are vital parameters in furnace combustion control. It provides a new
idea of time delay estimation with the utilization of acoustic pyrometry for
furnace.
| Reference Key |
cheng2021a
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|---|---|
| Authors | Qi Liu; Bin Zhou; Jianyong Zhang; Ruixue Cheng |
| Journal | arXiv |
| Year | 2021 |
| DOI |
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