材料科学
乙炔
检出限
光纤
光纤传感器
溶解气体分析
放大器
分析化学(期刊)
变压器
光电子学
变压器油
光学
纤维
化学
色谱法
物理
有机化学
复合材料
CMOS芯片
量子力学
电压
作者
Ke Chen,Ran An,Chenxi Li,Kun Yuan,Fengxiang Ma,Xinyu Zhao,Min Guo,Hongchao Qi,Jikuan Zhao
标识
DOI:10.1016/j.optlastec.2022.108299
摘要
Dissolved acetylene gas in oil is the characteristic gas to distinguish overheating and discharge faults of transformer. To realize the detection of ultra-low concentration acetylene in transformer oil, a photoacoustic (PA) gas detection system based on ultra-high sensitive fiber-optic acoustic sensing technique was designed. In order to amplify the power of the laser, an Erbium-doped fiber amplifier (EDFA) was utilized, thereby increasing the intensity of the PA excitation signal. A cantilever based fiber-optic acoustic sensor was utilized to detect the generated PA signal. the interference of carbon dioxide and water vapor on the detection of ultra-low concentration acetylene was studied through analyzing the absorption spectrum. By optimizing the laser modulation parameters, the interference of the interfering gases on the acetylene absorption signal is reduced. Experimental results show that the response time of the system is 9 min with the headspace degassing based oil–gas separation method. The ultra-low concentration of dissolved acetylene gas in oil was tested, and the detection limit reached 0.05 μL/L. The technical solution provides a new solution for transformer fault detection.
科研通智能强力驱动
Strongly Powered by AbleSci AI