Title :
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
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 at providing 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. The Laplace test statistic is adopted for trend analysis of the event log of candidate parameters and applied to actual feeder event data for online detection and monitoring purposes.
Keywords :
condition monitoring; fault location; power distribution faults; statistical analysis; Laplace trend statistic; feeder monitoring parameters; incipient fault detection; Circuit faults; Condition monitoring; Degradation; Dielectrics and electrical insulation; Electrical fault detection; Fault detection; Fault diagnosis; Power system reliability; Statistical distributions; Statistics; 65; Condition monitoring; Laplace test statistic; hazard function; incipient fault; trend analysis;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2004.836140
