基于二次相关 PHAT-β 算法的松散煤炭声学温度测量时间延迟估计

Fire Pub Date : 2024-07-01 DOI:10.3390/fire7070228
Yin Liu, Jun Guo, Wenjing Gao, Hu Wen, Guobin Cai, Yongfei Jin, Kaixuan Wang
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引用次数: 0

摘要

声波测温法具有精度高、非接触等优点,应用前景广阔。它有望成为矿井隐蔽火源探测的一种新方法。声学飞行时间(TOF)会直接影响声学温度测量的精度。我们提出了一种基于二次相关性的相位变换加权(PHAT-β)算法,用于估算散煤声学温度测量的时间延迟。在多因素耦合条件下,使用独立构建的松煤声学温度测量实验系统进行了验证。结果表明,随着声波传播距离的增加,PHAT-β 算法估算出的声波 TOF 值最接近参考线。煤温反演实验结果表明,PHAT-β 算法的绝对误差从未超过 1 ℃,最大值为 0.862 ℃。使用 ROTH 加权误差最大值,当煤样颗粒为 3.0-5.0 cm 时,绝对误差最大值为 4.896 ℃,与该粒度区间的误差最小值 1.203 ℃相差 3.693 ℃。六种算法的准确度排序为 PHAT-β > GCC > PHAT > SCOT > HB > ROTH,进一步验证了 PHAT-β 算法的准确性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time Delay Estimation for Acoustic Temperature Measurement of Loose Coal Based on Quadratic Correlation PHAT-β Algorithm
The acoustic temperature measurement method has a broad application prospect due to its advantages of high precision, non-contact, etc. It is expected to become a new method for hidden fire source detection in mines. The acoustic time of flight (TOF) can directly affect the accuracy of acoustic temperature measurement. We proposed a quadratic correlation-based phase transform weighting (PHAT-β) algorithm for estimating the time delay of the acoustic temperature measurement of a loose coal. Validation was performed using an independently built experimental system for acoustic temperature measurement of loose coals under multi-factor coupling. The results show that the PHAT-β algorithm estimated acoustic TOF values closest to the reference line as the sound travelling distance increased. The results of coal temperature inversion experiments show that the absolute error of the PHAT-β algorithm never exceeds 1 °C, with a maximum value of 0.862 °C. Using the ROTH weighted error maximum, when the particle of the coal samples is 3.0–5.0 cm, the absolute error maximum is 4.896 °C, which is a difference of 3.693 °C from the error minimum of 1.203 °C in this particle size interval. The accuracy of six algorithms was ranked as PHAT-β > GCC > PHAT > SCOT > HB > ROTH, further validating the accuracy and reliability of the PHAT-β algorithm.
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