摘要
为了优化发动机燃烧室声学测温信号的时延处理,提高温度测量的准确性和稳定性,提出了一种结合小波包分解变换重组和孤立森林算法的信号处理新方法。首先,通过热校准风洞实验,得到声学测温探头在高温气流环境中的数据;然后,采用小波包分解变换重组方法结合孤立森林算法对温度数据进行滤波和重构,消除噪声和提取有效信息;同时,为了提高数据质量和准确性,对重构后的数据进行异常值检测。热校准风洞试验结果表明:经过信号处理后的数据分布更平缓和对称、标准差显著降低、数据更集中于均值,从而提高了温度测量的准确性和稳定性。本研究为声学测温更准确的应用于发动机燃烧室提供了一种有效的技术方案。
This research is dedicated to the optimization of time delay processing for acoustic temperature measure-ment signals within engine combustion chambers,aiming to significantly enhance the precision and reliability of tempera-ture determinations.A novel signal processing methodology is introduced,integrating wavelet packet decomposition trans-formation recombination with the isolation forest algorithm.This approach promises to refine the quality of temperature data by effectively mitigating noise interference and extracting pivotal information.Firstly,the acoustic temperature probe was thermally calibrated in a wind tunnel to obtain the data in a high temperature airflow environment.Secondly,the wavelet packet decomposition transformation and reorganization method combined with the isolated forest algorithm was used to filter and reconstruct the temperature data to eliminate noise and extract effective information.At the same time,outliers in the reconstructed data was detected to improve data quality and accuracy.The results of thermal calibration wind tunnel experiments show that the data distribution after signal processing is smoother and more symmetrical,the standard deviation is significantly reduced,and the data is more concentrated on the mean,so as to improve the accuracy and stability of temperature measurement.The research provides an effective technical solution for acoustic temperature measurement.
作者
李书缘
赵俭
赵乂鋆
LI Shuyuan;ZHAO Jian;ZHAO Yijun(Changcheng Institute of Metrology&Measurement,Beijing 100095,China)
出处
《计测技术》
2024年第1期80-87,共8页
Metrology & Measurement Technology
基金
国家民用飞机专项科研项目(XXXX-XXXX)。
关键词
声学测温
发动机燃烧室
时延优化方法
小波包变换
acoustic thermometry
the combustion chamber of engine
time delay optimization method
wavelet packet transform
