电力系统保护与控制Issue(7)：76-82,7.
光声光谱技术在油浸式电气设备故障气体检测中的应用
Dissolved gas analysis in oil-immersed electrical equipment based on photoacoustic spectroscopy
毛知新 1劲宇1
作者信息
- 1. 华中科技大学电气与电子工程学院，湖北 武汉430074
- 折叠
摘要
Abstract
Photoacoustic spectroscopy (PAS) has the advantages of high precision, wide detection range, no consumption of measured gas and carrier gas. It can be applied to online monitoring dissolved gas in oil for oil immersed electrical equipment. This paper analyzes the generation mechanism of gas photoacoustic signal and the spectral characteristics of dissolved gases in insulation oil. An experimental gas detection platform is devised by coupling dynamic headspace degassing with photoacoustic spectroscopy. This platform is tested with standard gas samples and standard oil sample for repeatability and accuracy tests, and an oil sample is collected from a transformer in practical operation, and the results are compared with those of a laboratory gas chromatograph (GC) system. The results meet or exceed the standards for online detection of dissolved gas in power system. Consequently, the proposed technique effectively detects dissolved gas in oil for oil-immersed electric equipment.关键词
油浸式电气设备/溶解气体分析/在线监测/光声光谱/动态顶空脱气/准确度Key words
oil-immersed electrical equipment/dissolved gas analysis/online monitoring/photoacoustic spectroscopy/dynamic headspace degassing/accuracy分类
信息技术与安全科学引用本文复制引用
毛知新,劲宇..光声光谱技术在油浸式电气设备故障气体检测中的应用[J].电力系统保护与控制,2015,(7):76-82,7.
