A Low-Cost and High-Stability Demodulation Method for Photothermal Spectroscopy Gas Detection in Power Transformer

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2025-02-21 DOI:10.1109/JSEN.2025.3542318
Houxian Du;Xunbo Gao;Daiyuan Yang;Ruize Tong;Yukun Wang;Guoming Ma
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Abstract

Dissolved gas analysis is a critical component of transformer defect diagnosis. Oil-dissolved gas sensing based on fiber-optic photothermal spectroscopy was proposed for it is immune to electromagnetic interference. Traditional methods apply sinusoidal modulation to the pump light wavelength. However, sinusoidal phase noise is also generated in the absence of gas due to the laser absorption by fiber splice points, flanges, and other components. This noise makes it difficult to further lower the detection limit. In this article, a pump light frequency modulation method combining a sine wave with a sawtooth wave was introduced. The gas concentration was determined by detecting the amplitude of the second harmonic wave, which addressed the aforementioned issues. However, these systems are highly sensitive to temperature, vibrations, and other factors, leading to poor stability. In addition, the industry application is limited by the high cost of the demodulation system. Thus, this article proposed an acetylene sensing topology based on heterodyne interference and Mach-Zehnder interferometric structure. The sensing phase signal was modulated by a 100-MHz modulation, achieved by introducing an acousto-optic modulator (AOM) into the reference arm, which reduced low-frequency noise interference. Then, a low-cost demodulation method was also proposed based on mixing and down conversion. This method lowered the carrier frequency from 100 MHz to 100 kHz, reducing demodulation costs by about 91%. The proposed photothermal spectroscopy gas detection system achieved a detection limit of 0.256 ppm for acetylene.
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一种低成本、高稳定的电力变压器光热光谱气体检测解调方法
溶解气体分析是变压器故障诊断的重要组成部分。基于光纤光热光谱的油溶气传感具有抗电磁干扰的特点。传统的方法是对泵浦光波长进行正弦调制。然而,在没有气体的情况下,由于光纤接头点、法兰和其他部件对激光的吸收,也会产生正弦相位噪声。这种噪声使得进一步降低检测极限变得困难。本文介绍了一种正弦波与锯齿波相结合的泵浦光调频方法。通过检测二次谐波的振幅来确定气体浓度,解决了上述问题。然而,这些系统对温度、振动和其他因素非常敏感,导致稳定性差。此外,解调系统的高成本限制了其工业应用。为此,本文提出了一种基于外差干涉和马赫-曾德干涉结构的乙炔传感拓扑结构。通过在参考臂中引入声光调制器(AOM),传感相位信号通过100 mhz调制进行调制,从而减少了低频噪声干扰。然后,提出了一种基于混频和下变频的低成本解调方法。该方法将载波频率从100 MHz降低到100 kHz,使解调成本降低约91%。该光热光谱气体检测系统对乙炔的检出限为0.256 ppm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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