Classification of insulating liquids thermal treatment using infrared spectroscopy and multivariate statistical method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F19%3A43955863" target="_blank" >RIV/49777513:23220/19:43955863 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/EIC43217.2019.9046556" target="_blank" >http://dx.doi.org/10.1109/EIC43217.2019.9046556</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EIC43217.2019.9046556" target="_blank" >10.1109/EIC43217.2019.9046556</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Classification of insulating liquids thermal treatment using infrared spectroscopy and multivariate statistical method

Popis výsledku v původním jazyce

Paper is focused on the investigation of the possibility of using statistical methods as discriminant analysis and principal component analysis for a classification of the aging of insulating material. The Statistical method was used in combination with Fourier Transform Infrared Spectroscopy results (FT-IR). The investigation was carried out on thermally aged mineral oil samples. The tested oil was exposed to thermal treatment at a temperature of 130°C for times ranging from 24 to 572 hours. Infrared spectra were measured at predefined times of aging using transmission technique in the middle area of the infrared electromagnetic spectrum. Program TQ Analyst was used for other evaluation of changes in measured infrared spectra and the possibility of their separation according to aging times. Based on the experiment performed, discriminability of individual levels of aging based on infrared spectra (IR) measurements was identified even in cases of minimum spectra differences. Combination of FT-IR measurement together with the application of multivariate statistical methods seems to be promising in possible application to aging level identification and automatization of the process of evaluation.

Název v anglickém jazyce

Classification of insulating liquids thermal treatment using infrared spectroscopy and multivariate statistical method

Popis výsledku anglicky

Paper is focused on the investigation of the possibility of using statistical methods as discriminant analysis and principal component analysis for a classification of the aging of insulating material. The Statistical method was used in combination with Fourier Transform Infrared Spectroscopy results (FT-IR). The investigation was carried out on thermally aged mineral oil samples. The tested oil was exposed to thermal treatment at a temperature of 130°C for times ranging from 24 to 572 hours. Infrared spectra were measured at predefined times of aging using transmission technique in the middle area of the infrared electromagnetic spectrum. Program TQ Analyst was used for other evaluation of changes in measured infrared spectra and the possibility of their separation according to aging times. Based on the experiment performed, discriminability of individual levels of aging based on infrared spectra (IR) measurements was identified even in cases of minimum spectra differences. Combination of FT-IR measurement together with the application of multivariate statistical methods seems to be promising in possible application to aging level identification and automatization of the process of evaluation.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1607" target="_blank" >LO1607: RICE – Nové technologie a koncepce pro inteligentní průmyslové systémy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 37th Electrical Insulation Conference

ISBN

978-1-5386-7624-0

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

291-294

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Calgary, Canada

Datum konání akce

16. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—