Signal analytical processing based on wavelet transform for tunable diode laser absorption spectroscopy

Xia, Hua; Dong, Fengzhong; Zhang, Zhirong; Tu, Guojie; Pang, Tao; Wu, Botao; Wang, Yu

doi:10.1117/12.871629

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…Various means have been attempted to minimize the influence of optical etalons, including careful optical design [74][75][76], mechanical dithering of optics [77][78][79], balanced-ratio detection schemes [80,81], calibration-free WMS [82][83][84], and digital filtering techniques [85][86][87][88][89]. A summary of these approaches is given in Table 3 and briefly discussed in the following.…”

Section: Optical Interference Fringe Noisementioning

confidence: 99%

Laser Absorption Sensing Systems: Challenges, Modeling, and Design Optimization

Wang

Chao

2019

Applied Sciences

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Laser absorption spectroscopy (LAS) is a promising diagnostic method capable of providing high-bandwidth, species-specific sensing, and highly quantitative measurements. This review aims at providing general guidelines from the perspective of LAS sensor system design for realizing quantitative species diagnostics in combustion-related environments. A brief overview of representative detection limits and bandwidths achieved in different measurement scenarios is first provided to understand measurement needs and identify design targets. Different measurement schemes including direct absorption spectroscopy (DAS), wavelength modulation spectroscopy (WMS), and their variations are discussed and compared in terms of advantages and limitations. Based on the analysis of the major sources of noise including electronic, optical, and environmental noises, strategies of noise reduction and design optimization are categorized and compared. This addresses various means of laser control parameter optimization and data processing algorithms such as baseline extraction, in situ laser characterization, and wavelet analysis. There is still a large gap between the current sensor capabilities and the demands of combustion and engine diagnostic research. This calls for a profound understanding of the underlying fundamentals of a LAS sensing system in terms of optics, spectroscopy, and signal processing.

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Section: Optical Interference Fringe Noisementioning

confidence: 99%

Laser Absorption Sensing Systems: Challenges, Modeling, and Design Optimization

Wang

Chao

2019

Applied Sciences

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“…Especially in trace gas detection, the gas absorption signal is so weak that it can be easily submerged in various noise and spikes. These noises may originate from TEC or lock-in amplifier, the 1/f noise or power supply voltage jitter [39]. In this case, those algorithms that are most commonly used in general signal processing, like the least-squares method, cannot efficiently extract the precise desired signal.…”

Section: Factors Affecting the Accuracy Of Tdlasmentioning

confidence: 99%

“…In this case, those algorithms that are most commonly used in general signal processing, like the least-squares method, cannot efficiently extract the precise desired signal. In recent years, some advanced algorithms have been proposed or introduced into TDLAS systems to process signals with low SNR, including wavelet transform (WT) [39,40], adaptive Savitzky–Golay algorithm [41], and empirical mode decomposition (EMD)-FCR algorithm [42]. These algorithms have been verified to be significant for practical issues.…”

Section: Factors Affecting the Accuracy Of Tdlasmentioning

confidence: 99%

“…Xia et al [39] introduced WT to deal with low-SNR signal in TDLAS systems. In their experiments, wavelet basis symlet 6 (a kind of symmetric basis function) and decomposition scale six was used, and an approximation coefficient of a term of absorption signal was reserved and reconstructed only at a certain frequency.…”

Section: Algorithms For Tdlas Signal Processingmentioning

confidence: 99%

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Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy

Zhang

Kang

Meng

et al. 2018

Sensors

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Tunable diode laser absorption spectroscopy technology (TDLAS) has been widely applied in gaseous component analysis based on gas molecular absorption spectroscopy. When dealing with molecular absorption signals, the desired signal is usually interfered by various noises from electronic components and optical paths. This paper introduces TDLAS-specific signal processing issues and summarizes effective algorithms so solve these.

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“…2,3 In recent years, many detection methods of H 2 S in oilfield associated gas have been developed. In 2013, Szab o et al 4 developed a photoacoustic spectroscopy-based detector of H 2 S; in 2015, Xia et al 5 developed a TDLAS sensor for H 2 S detection; in 2017, Rella et al 6 developed an instrument based on cavity ring-down spectroscopy for the quantitative analysis of H 2 S concentration. But the background gas concentration in oilfield associated gas is uncertain, these measurement sensors are based on a constant background gas concentration.…”

Section: Introductionmentioning

confidence: 99%

A near‐infrared trace hydrogen sulfide sensor based on CEEMDAN and PSO‐LSSVM

Jiao

et al. 2021

Micro & Optical Tech Letters

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A distribution feedback laser sensor for high precision and high sensitivity detection of the hydrogen sulfide in associated gas from oil fields is developed in this paper. Tunable diode laser absorption spectroscopy and wavelength modulation spectroscopy and were utilized for the H 2 S concentration detection in the oilfield. Complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) algorithm is used to remove the noise from the spectral signal. Particle swarm optimization-least squares support vector machine (PSO-LSSVM) model is applied for concentration prediction. The root mean square error of long-term stability is 0.323. Allan-Werle deviation analysis shows that the theoretical limit of detection is 71 parts per billion while the optimal integration time reaches 96 s. The sensor is of great significance for realtime detection of hydrogen sulfide concentration in associated gas in oil fields.

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Signal analytical processing based on wavelet transform for tunable diode laser absorption spectroscopy

Cited by 7 publications

References 9 publications

Laser Absorption Sensing Systems: Challenges, Modeling, and Design Optimization

Laser Absorption Sensing Systems: Challenges, Modeling, and Design Optimization

Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy

A near‐infrared trace hydrogen sulfide sensor based on CEEMDAN and PSO‐LSSVM

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