在波长调制中通过EMD-Wavelet自适应值检测低ppb的甲 TDLAS:一种用于微量气体检测的混合排泄方法
Tong Mu1, Xing Tian1,2, Peiren Ni3
1School of Artificial Intelligence, Anhui University of Science and Technology, Huainan 232001, China.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
一个新的混合算法通过减少波长调制可调节二极管激光吸收光谱 (WM-TDLAS) 的噪声来改善气体检测. 这种方法提高了检测精度,并显著降低了甲的最低检测极限.
科学领域:
- 光谱学
- 信号处理
- 环境科学
背景情况:
- 波长调节式二极管激光吸收光谱 (WM-TDLAS) 对于气体检测至关重要.
- 第二波信号中的噪声会对WM-TDLAS的性能产生负面影响.
- 改善信号消噪对于提高检测能力至关重要.
研究的目的:
- 开发和验证WM-TDLAS的混合消噪算法.
- 提高WM-TDLAS系统的检测精度和最小检测极限 (MDL).
- 在不需要硬件修改的情况下提高WM-TDLAS的性能.
主要方法:
- 开发了一种混合消噪算法,该算法结合了实证模式分解 (EMD) 和波纹自适应值.
- 使用EMD将原始WM-TDLAS信号分解为内在模式函数 (IMF).
- 使用波形值,然后进行信号重建,对高频率的IMF进行了反.
主要成果:
- 混合算法实现了三倍的CH4检测精度,达到0.1181ppm.
- 艾伦差异分析显示检测能力显著提高.
- 在230秒的整合时间内,最小检测极限 (MDL) 从2. 31ppb降至0. 53ppb.
结论:
- 混合EMD和波纹消除算法有效地提高了WM-TDLAS的性能.
- 这种方法提供了基于软件的解决方案,以提高气体检测的灵敏度.
- 这种方法在环境监测和工业安全方面有很大的应用潜力.
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