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

摘要

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.