Statistical insights into furan interpretation using a large dielectric fluid testing database

Author

Shkolnik, Andrew B. ; Rasor, Robert T.

Author_Institution

S.D. Myers Inc., Tallmadge, OH, USA

fYear

2012

fDate

7-10 May 2012

Firstpage

1

Lastpage

8

Abstract

A large set of results for furan analysis of samples from oil-filled transformers above 500 kVA was statistically analyzed. Statistical correlations were calculated that may provide insight into the potential causes of the individual furans. Acid number, moisture saturation, and carbon monoxide were shown to be statistically significant predictor variables for total furan content. Various percentile values were also calculated for the distribution of and rate of change in furan concentration, and these are presented within subgroups subdivided by breather type and paper insulation type. Finally, equations are presented for using furan results to estimate the degree of polymerization and remaining life of the paper insulation.

Keywords

polymerisation; statistical analysis; transformer insulation; transformer oil; acid number; apparent power 500 kVA; carbon monoxide; furan concentration; furan content; furan interpretation; individual furans; large dielectric fluid testing database; moisture saturation; oil-filled transformers; paper insulation; percentile values; polymerization; statistical correlations; statistical insights; statistically significant predictor variables; Carbon; Circuit faults; Correlation; Moisture; Oil insulation; Power transformer insulation; aging; degradation; dissolved gas analysis; fault diagnosis; insulation; moisture; oil; remaining life assessment; statistical analysis; transformers;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES

Conference_Location

Orlando, FL

ISSN

2160-8555

Print_ISBN

978-1-4673-1934-8

Electronic_ISBN

2160-8555

Type

conf

DOI

10.1109/TDC.2012.6281509

Filename

6281509