基于光声光谱的变压器油中多组分气体检测方法

油中溶解气体对变压器早期潜伏性故障的诊断具有重要作用。光声光谱技术是基于光声效应的一种新型微量气体检测技术,基于光声光谱技术的基本原理,以甲烷和乙炔为例,对变压器油中多组分故障特征气体的光声光谱检测方法进行研究。提出的基于分布反馈半导体激光器的光声光谱检测装置具有选择性好、检测范围大的优点,提出的基于最小二乘回归的多组分气体光声定量方法不需要池常数、气体吸收系数等参数,因而避免了这些参数引入的误差。实验结果表明,提出的方法能够有效地检测出多组分故障特征气体,为光声光谱技术的工程应用提供了方法参考。

Method of Photoacoustic Detection of Multi-component Gas Dissolved in Transformer Oil

Dissolved gas in transformer oil plays a great pole in diagnosing early latent faults of transformers.Photoacoustic spectrometry is a new trace gas detection technology based on the photoacoustic effect.This paper,taking methane and acetylene for example,researched the method of photoacoustic detection of multi-component fault characteristics gases in transformer oil.The proposed photoacoustic gas detection device based on the distributed feedback diode laser has the advantages of good selectivity and large dectection range.The present quantitative photoacoustic method for detecting multi-component gas based on the least-square method dose not use the system parameters such as cell constant and gas absorption coefficient,so it avoids the errors introduced by these parameters.Experiment results show that the method proposed by the paper can effectively detect the multi-component fault characteristics gas,and it supplies the references for the engineering applications of photoacoustic spectrometry.