Title :
Fault Diagnosis System of Transformer Based on GAS Chromatography
Author :
Li, Jian-po ; Zhao, Ji-yin ; Zheng, Rui-rui ; Liu, Yu
Author_Institution :
Commun. Eng. Coll., Jilin Univ., Changchun
Abstract :
In a certain extent, the gas component and content dissolved in the transformer oil indicate the insulation aging and fault degree of the transformer. The fault diagnosis system of transformer based on gas chromatography applies the analysis method of gas chromatography to transform each of the concentration into corresponding electric signal. After data processing, the signal is transmitted into working station to form chromatogram and made a fault diagnosing with grey relational theory. The system can detect the gas component, content, and speed of gas producing. It can find out the potential fault in the transformer as soon as possible and forecast the development trend of fault to ensure safe and economical running of the transformer
Keywords :
ageing; chromatography; fault diagnosis; power transformer insulation; transformer oil; fault diagnosis system; gas chromatography; grey relational theory; insulation aging; transformer; transformer oil; Aging; Data processing; Economic forecasting; Fault diagnosis; Gas chromatography; Gas insulation; Oil insulation; Power transformer insulation; Signal analysis; Signal processing; FID; Fault diagnosis of transformer; Gas chromatography; Grey relation;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258458