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High sensitivity fiber optic sensor for hydrogen detection in gas and transformer oil

DOI:10.1109/JSEN.2019.2891523 期刊:IEEE Sensors Journal 出版年份:2019 更新时间:2025-09-23 15:22:29
摘要: This paper reports on the characterisation of a palladium (Pd) based fiber optic hydrogen (H2) sensor for health monitoring of distribution and power transformers in the electrical grid. The sensor consists of a Pd foil, which expands due to H2 absorption, and a fiber Bragg grating (FBG) that measures this expansion. Fifteen sensors were manufactured and characterised in gas and oil environments at various H2 concentrations and temperatures. In gas, the sensors were evaluated at 60°C, 75°C, 90°C, 105°C and 120°C and H2 concentrations from 0.01 to 5%. In oil, the same sensors were evaluated at 90°C and dissolved H2 concentrations from 5 to 2700 ppm. Furthermore, the influence of carbon monoxide (CO), which is often present in transformers and can impact H2 response of the sensor, was investigated. At 90°C in gas, the response to 0.01%, and 5% H2 was on average 28 pm, and 719 pm respectively. At 90°C in oil, the response to 5 ppm, and 2700 ppm dissolved H2 was on average 11 pm, and 763 pm respectively. The average, relative accuracy is better than 20% over the whole measurement range in gas and for measurements above 100 ppm in oil. These specifications make the sensor a promising candidate for online monitoring of H2 in transformers.
作者: Maximilian Fisser,Rodney A Badcock,Paul D Teal,Arvid Hunze
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To characterize a palladium-based fiber optic hydrogen sensor for health monitoring of transformers in electrical grids, focusing on its performance in gas and oil environments at various temperatures and hydrogen concentrations, and to investigate the influence of carbon monoxide.

The palladium-based fiber optic hydrogen sensor demonstrates high sensitivity and accuracy for hydrogen detection in both gas and oil environments, making it suitable for online monitoring of transformers. The vacuum bagging manufacturing process ensures good reproducibility among sensors. Despite slow response times and sensitivity to CO, the sensor meets the requirements for transformer health monitoring, where gas generation rates are low and sampling intervals are long. Future work includes field installation in distribution transformers.

The response time of the sensors is slow, especially in oil (up to several days), which may not be suitable for real-time applications. Accuracy is lower at very low hydrogen concentrations (<0.1% in gas and <100 ppm in oil) due to signal-to-noise ratio issues. The presence of carbon monoxide significantly slows the response but does not block it entirely. Temperature and pressure fluctuations in oil measurements increased noise. The study did not test in actual transformer conditions, only in laboratory setups.

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