Determination of accuracy of winding deformation method using kNN based classifier used for 3 MVA transformer

Autor: Manash Jyoti Baishya, Sasanka Sekhor Sharma, Manash Hazarika, Mustafa Wasir Ahmed
Rok vydání: 2018
Předmět:
Zdroj: AIP Conference Proceedings.
ISSN: 0094-243X
Popis: This paper presents a detecting system on power transformer in transformer winding, core and on load tap changer (OLTC). Accuracy of winding deformation is determined using kNN based classifier. Winding deformation in power transformer can be measured using sweep frequency response analysis (SFRA), which can enhance the diagnosis accuracy to a large degree. It is suggested that in the results minor deformation faults can be detected at frequency range of 1 mHz to 2 MHz. The values of RCL parameters are changed when faults occur and hence frequency response of the winding will change accordingly. The SFRA data of tested transformer is compared with reference trace. The difference between two graphs indicate faults in the transformer. The deformation between 1 mHz to 1kHz gives winding deformation, 1 kHz to 100 kHz gives core deformation and 100 kHz to 2 MHz gives OLTC deformation.
Databáze: OpenAIRE