Evaluation of feeder monitoring parameters for incipient fault detection using Laplace trend statistic

Author

Kim, Charles J. ; Lee, Seung-Jae ; Kang, Sang-Hee

Author_Institution

Dept. of Electr. & Comput. Eng., Howard Univ., Washington, DC, USA

Volume

2

fYear

2003

fDate

12-16 Oct. 2003

Firstpage

1285

Abstract

This paper focuses on a systematic and cumulative statistical approach for identifying symptom parameters of incipient faults in distribution feeders. The proposed method aims to provide a tool for evaluating and identifying the best and highly correlated parameters to the faults so that they could be used for incipient fault detection and feeder condition monitoring. Laplace test statistic is adopted for trend analysis of the event log of candidate parameters and applied to actual feeder event data for on-line detection and monitoring purpose.

Keywords

condition monitoring; distribution networks; fault location; power distribution faults; statistical analysis; Laplace test statistic; Laplace trend statistic; cumulative statistical approach; distribution feeders; event log; feeder monitoring parameters; identifying symptom parameters; incipient fault detection; incipient faults; on-line detection; overhead power distribution systems; parameter identification; trend analysis; Circuit faults; Condition monitoring; Degradation; Dielectrics and electrical insulation; Electrical fault detection; Fault detection; Fault diagnosis; Statistical analysis; Statistics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the

Print_ISBN

0-7803-7883-0

Type

conf

DOI

10.1109/IAS.2003.1257716

Filename

1257716