DocumentCode :
1587380
Title :
Trend analysis techniques for incipient fault prediction
Author :
Moghe, Rohit ; Mousavi, Mirrasoul J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2009
Firstpage :
1
Lastpage :
8
Abstract :
This paper extends the application of the Laplace Test Statistic for trend analysis and prediction of incipient faults for power systems. The extensions proposed in this paper consider the situation where two parameters believed to contribute explicitly to the eventual failure are monitored. The developed extensions applied to actual incipient failure events provide promising results for prediction of the impending failure. It is demonstrated that by incorporating two parameters in the trend analysis, the robustness to outliers is increased and the flexibility is augmented by increasing the degrees of freedom in the generation of the alarm signal.
Keywords :
Laplace equations; power distribution faults; power system measurement; statistical analysis; Laplace test statistic; alarm signal; incipient fault prediction; trend analysis; underground feeder; Computerized monitoring; Condition monitoring; Decision making; Degradation; Maintenance; Power cables; Power system analysis computing; Power system reliability; Statistical analysis; Testing; Distribution Cable; Incipient faults; Laplace Test Statistic; Trend Analysis; Underground feeder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275651
Filename :
5275651
Link To Document :
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