Tingting Zhang, Yefeng Gu, Qinduan Zhang, Yubin Wei, Li Wang, Chunsheng Li, Wei Wang
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引用次数: 0
Abstract
Methane (CH4) has extensive applications in energy and chemical industries. However, its flammability and greenhouse effects necessitate timely detection of gas leakage for safety and environmental protection. This study presents a novel second harmonic signal denoising method for quartz-enhanced photoacoustic spectroscopy (QEPAS) CH4 gas sensors. The proposed method integrates successive variational mode decomposition (SVMD), permutation entropy (PE), and Savitzky-Golay (SG) filtering. The methodology involves initial signal decomposition via SVMD, followed by PE threshold implementation to preserve effective signals during reconstruction, and subsequent SG filtering for enhanced denoising. In addition, we develop a parameter optimization approach to determine an appropriate balance parameter for SVMD-based second harmonic signal decomposition. Both simulation and experimental results validate the superior performance of the SVMD-PE-SG method. The approach significantly improved the signal-to-noise ratio (SNR) from 54.58 to 298.49 and the correlation coefficient (R2) from 0.99682 to 0.99922, achieving a minimum detection limit (MDL) of 2.01 ppm for CH4 gas. Through Allan variance analysis, the MDL reaches 67 ppb when the integration time is 121 s. Implementation of the SVMD-PE-SG algorithm substantially enhanced the detection accuracy of the CH4-QEPAS gas sensor.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.