Statistical approach to endurance models : data processing using regression models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F15%3A43925434" target="_blank" >RIV/49777513:23220/15:43925434 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161075" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161075</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EPE.2015.7161075" target="_blank" >10.1109/EPE.2015.7161075</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical approach to endurance models : data processing using regression models

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Statistical approach to endurance models : data processing using regression models

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2015 16th International Scientific Conference on Electric Power Engineering (EPE)

ISBN

978-1-4673-6788-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

238-241

Název nakladatele

VSB - Technical University of Ostrava

Místo vydání

Ostrava

Místo konání akce

Kouty nad Desnou, Česká republika

Datum konání akce

20. 5. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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