Trend Analysis Methods and System for Incipient Fault Prediction
AssigneeABB Research Ltd.
InventorsMirrasoul Mousavi, Rohit Moghe
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Abstract
There is described herein the extension of the application of the Laplace Test Statistic for trend analysis and prediction of incipient faults for power systems. The extensions 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.
Claims18
A computer program product which includes program instructions which, when executed by a processor performs a method comprising:
- receiving data including a first parameter and a second parameter, said first parameter representing the time of an incipient event and said second parameter representing a characteristic of said incipient event;
- determining a laplace test statistic using said first parameter and said second parameter;
- comparing said laplace test statistic against a threshold;
- and
- if said laplace test statistic is greater than said threshold, outputting an alarm signal.
A method of performing trend analysis on incipient events in a power network, the method comprising:
- receiving data including a first parameter and a second parameter, said first parameter representing the time of an incipient event and said second parameter representing a characteristic of said incipient event;
- determining a laplace test statistic using said first parameter and said second parameter;
- comparing said laplace test statistic against a threshold;
- and
- if said laplace test statistic is greater than said threshold, outputting an alarm signal.
Dependencies are inferred from the claim text.