DocumentCode
1377211
Title
Identification of symptom parameters for failure anticipation by timed-event trend analysis [power distribution systems]
Author
Kim, C.J.
Author_Institution
Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
Volume
20
Issue
9
fYear
2000
fDate
9/1/2000 12:00:00 AM
Firstpage
48
Lastpage
49
Abstract
This paper investigates a timed-event trend analysis method to evaluate and identify symptom parameters for incipient fault detection. To quantify the trend, the Laplace test statistic is adopted and applied to an actual distribution event log. A case study shows that the Laplace test statistic could be of great help in identification of the parameters for incipient fault detection and predictive diagnostics
Keywords
Laplace equations; failure analysis; parameter estimation; power distribution faults; power distribution reliability; Laplace test statistic; case study; distribution event log; failure anticipation; incipient fault detection; predictive diagnostics; symptom parameters identification; timed-event trend analysis method; Circuit faults; Condition monitoring; Degradation; Electrical fault detection; Equipment failure; Failure analysis; Fault diagnosis; Statistical analysis; Statistical distributions; Testing;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/39.866872
Filename
866872
Link To Document