基于PCA的变压器故障红外监测应用研究  

Study on On-Line Detection of Transformer Fault Using FTIR Based on Principal Component Analysis

作　　者：康建爽[1] 蒋书波[1] 程明霄[1] 储琴[1] 

机构地区：[1]南京工业大学自动化与电气工程学院,南京市新模范马路5号210009

出　　处：《光谱实验室》2010年第2期594-597,共4页Chinese Journal of Spectroscopy Laboratory

摘　　要：变压器作为电力系统中非常重要的输变电设备,其运行状况直接影响到整个系统运行的安全水平。根据红外光谱仪所测得信息,通过傅里叶变换可得到各故障特征气体红外吸收信息;依据Lambert-Beer定律并结合所测信息,采用主成分分析法就可以对各故障特征气体进行定性与定量分析,判别当前变压器的运行状况。对于故障运行的电力变压器,及时发现并解除存在的故障或故障隐患对整个系统的安全运行具有重要意义。Transformer play an important role in power transmission ,and its working condition directly affects the safety level. An infrared absorption spectra can be used to monitor the stage of the transfer by infrared spectrometer with Fourier transform based on the qualitative and quantitative analysis using principal component analysis based on Lambert-Beer＇s law combined with the measured information. For the operation transformer in trouble, accurate judgment of the potential failure or hidden danger in time and solving it is of great significance.

关 键 词：变压器 故障特征气体 傅里叶红外光谱仪 主成分分析 

分 类 号：O657.33[理学—分析化学] TP212.14[理学—化学]