Statistical approach to endurance models - data processing using regression models | IEEE Conference Publication | IEEE Xplore

Statistical approach to endurance models - data processing using regression models


Abstract:

The paper presents a methodology for processing experimental data related to the issue of the electrical insulation system endurance, using the method of accelerated labo...Show More

Abstract:

The paper presents a methodology for processing experimental data related to the issue of the electrical insulation system endurance, using the method of accelerated laboratory aging. Several possible approaches are proposed. Traditionally used is the phenomenological approach combined with mathematical regression of measured data. This method is complemented by confidence intervals to ensure statistical certainty of the results of the experiment statements. The paper also describes a statistical approach to endurance modeling, however similarly supplemented with statistical certainty by using confidence intervals. Statistical certainty based on confidence intervals brings very valuable information for the practical use of electrical insulation materials and systems, especially considering design and dimensioning.
Date of Conference: 20-22 May 2015
Date Added to IEEE Xplore: 20 July 2015
Electronic ISBN:978-1-4673-6788-2
Conference Location: Kouty nad Desnou, Czech Republic

References

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