TDLAS/WMS Embedded System for Oxygen Concentration Detection of Glass Vials with Variational Mode Decomposition

Luo, Qiwu; Yang, Chunhua; Song, Cao; Zhou, Jian; Gui, Weihua

doi:10.1016/j.ifacol.2020.12.644

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…Allan variance is an important tool for quantitatively analyzing various types of noise; it can be used to visually observe the variation patterns of noise with integration time as well as evaluate the sensitivity of the system [36]. In the experiment, 1000 data points of CO 2 at a concentration of 50 ppm were measured with a sampling period of 1 s. The signal amplitude was converted to concentration using Eq.…”

Section: Allan Variance and System Stabilitymentioning

confidence: 99%

Interference fringe suppression in tunable diode laser absorption spectroscopy based on CEEMDAN-WTD

et al. 2022

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Owing to interference fringes in the multireflective gas cell, the detection sensitivity of a system in tunable diode laser absorption spectroscopy (TDLAS) will decrease significantly. In this work, a combined scheme of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet threshold denoising (WTD) is proposed. Theoretical simulations were performed to validate the effects of the proposed algorithm, which was also verified via a CO2 detection experiment. After CEEMDAN-WTD processing, the noisy intrinsic mode function (IMF), pure IMF, and residual components of the detection signal were identified and reconstructed successfully. Based on analysis of the simulations, CEEMDAN-WTD algorithm improved the signal-to-noise ratio by 1.87 times and decreased the root mean-squared error by 37.6% than the moving average algorithm. For the CO2 detection system, R2 = 0.999 was determined by the calibration experiment. Additionally, based on Allan variance analysis and a long-time experiment, the limit of detection was estimated to be 3.08 ppm for an average time of 148 s and measurement accuracy of 0.65%, respectively. The obtained results sufficiently validate that the CEEMDAN-WTD algorithm can effectively suppress interference fringe noise in TDLAS.

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Section: Allan Variance and System Stabilitymentioning

confidence: 99%

Interference fringe suppression in tunable diode laser absorption spectroscopy based on CEEMDAN-WTD

et al. 2022

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“…However, the methods of signal enhancement usually change the system's structure, which leads to an increase in cost [5]. The way to reduce noise in TDLAS systems usually uses software filtering [6,7], which only needs partial computational resources and does not require additional electronic and optical devices [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Research on VMD-Based Adaptive TDLAS Signal Denoising Method

et al. 2023

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We propose an adaptive algorithm that is a Variational Mode Decomposition (VMD) optimized by the particle swarm optimization (PSO) algorithm, named PSO-VMD. The method selects the envelope entropy of the last intrinsic mode function (IMF) in the VMD as the fitness function of the PSO and 1/10 of the maximum value of the correlation coefficient between the IMFs and the standard signal as the threshold of the correlation coefficient. In the processing of simulated and experimental second harmonic signals, a series of standards, including the same correlation coefficient threshold and standard signal, are used to adaptively achieve noise reduction processing. After processing a simulated signal using PSO-VMD, the signal-to-noise ratio (SNR) was improved by 4.03877 dB and the correlation coefficient (R2) between the gas concentration and the second harmonic maximum was improved from 0.97743 to 0.99782. In the processing of an experimental signal, the correlation coefficient (R2) was 0.99733. The mean value and standard deviation of the second harmonic signal of multiple cycles processed by PSO-VMD were improved compared to the unprocessed experimental signal. This demonstrated that the method has the advantage of being reliable and stable.

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Diode laser absorption spectroscopy for real-time detection of breath oxygen

Jiang

Zhang

et al. 2023

Infrared Physics & Technology

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TDLAS/WMS Embedded System for Oxygen Concentration Detection of Glass Vials with Variational Mode Decomposition

Cited by 8 publications

References 12 publications

Interference fringe suppression in tunable diode laser absorption spectroscopy based on CEEMDAN-WTD

Interference fringe suppression in tunable diode laser absorption spectroscopy based on CEEMDAN-WTD

Research on VMD-Based Adaptive TDLAS Signal Denoising Method

Diode laser absorption spectroscopy for real-time detection of breath oxygen

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