The Application of Correlation Recognizing Technology in Failure Prognostic System

Jie Zhan; Lin Niu; Jin Xin Huang; Jin Tao Cui

doi:10.4028/www.scientific.net/AMM.475-476.1534

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 475-476The Application of Correlation Recognizing...

The Application of Correlation Recognizing Technology in Failure Prognostic System

Abstract:

In order to ensure the safe and stable operation of power grid and reduce the huge economic loss by equipment failure, Failure prognostic system plays a vital role. Based on distance correlation principle ,this paper proposes a method of failure prognostic. We analyze correlation between various factors influencing the equipment failure and failure from a large number of historical data. Then sets fault indicators by weight function. When online testing data are beyond the fault indicator ,system alarms. Then system prompts operating personnel to check equipments state. At last, through overheating fault of transformer case validates the effectiveness of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volumes 475-476)

Pages:

1534-1537

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.475-476.1534

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Online since:

December 2013

Authors:

Jie Zhan, Lin Niu, Jin Xin Huang, Jin Tao Cui

Keywords:

Distance Correlation, Failure Indicator, Failure Prognostic

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References

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