FUZZY LOGIC SYSTEM BASED ON DISSOLVED GAS ANALYSIS AND FURAN ANALYSIS FOR POWER TRANSFORMER FAULT DIAGNOSIS

This paper presents a diagnosis fuzzy logic software system implemented in LabVIEW, based on DGA (Dissolved Gas Analysis) and are making the correlation with the analysis of furan derivatives concentration for a better accuracy of transformer faults prediction. The developed system allows the values resulting from the laboratory chemical analysis to be entered in a MySQL database, use the fuzzy logic and LabVIEW software development to implement the DGA and furan analysis methods, enters the results in a MySQL database, generates automatic reports, sends emails with reports to default addresses and provides string packages with the results obtained for an OPC UA (OLE Object linking and embedding for Process Control Unified Architecture) server for integration into the associated SCADA (Supervisory Control and Data Acquisition) system of an electrical substation. The validation of the presented system consists in testing on a very large number of power transformers of the Romanian Hydro-Power System. The results have proven the consistency between the software decision and the expert evaluation decision.