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

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.

[1]  S.E.-D. Habib,et al.  A new monitor for pollution on power line insulators. II. Simulated field tests , 1988 .

[2]  Charles Kim.  Identification of symptom parameters for failure anticipation by timed-event trend analysis [power d , 2000 .

[3]  Andres Soom,et al.  A noninvasive diagnostic instrument for power circuit breakers , 1991 .

[4]  Daniel P. Siewiorek,et al.  Error log analysis: statistical modeling and heuristic trend analysis , 1990 .

[5]  M. S. Sachdev,et al.  Online identification of magnetizing inrush and internal faults in three-phase transformers , 1992 .

[6]  J. Kuffel,et al.  The Cold Fog Test , 1996, IEEE Power Engineering Review.

[7]  C. K. Hansen,et al.  Spurious exponentiality observed when incorrectly fitting a distribution to nonstationary data , 1998 .

[8]  M. Hu,et al.  IModification of . " Error Log Analysis : Statistical Modeling and UM Heuristic Trend Analysis , 2022 .

[9]  J. Sottile,et al.  Techniques for improved predictive maintenance testing of industrial power systems , 1989 .

[10]  Gi Won Lee,et al.  A study on the characterization of the incipient failure behavior of insulators in power distribution line , 1999 .

[11]  K. L. Butler.  An expert system based framework for an incipient failure detection and predictive maintenance system , 1996, Proceedings of International Conference on Intelligent System Application to Power Systems.

[12]  H. Ohnishi,et al.  Insulation deterioration monitoring system for ungrounded power distribution systems , 1994 .