An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) software

A methodology was developed for analysing faults in distribution transformers using the statistical package for social sciences (SPSS); it consisted of organising and creating of database regarding failed equipment, incorporating such data into the processing programme and converting all the informa...

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Main Authors: María Gabriela Mago Ramos, Luis Valles Defendine, Jhon Jairo Olaya Florez
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2012-05-01
Series:Ingeniería e Investigación
Subjects:
Online Access:https://revistas.unal.edu.co/index.php/ingeinv/article/view/31938
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spelling doaj-e81ec3fedd3a4411a0a65babafd89f042020-11-25T00:15:26ZengUniversidad Nacional de ColombiaIngeniería e Investigación0120-56092248-87232012-05-01322404528164An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) softwareMaría Gabriela Mago Ramos0Luis Valles Defendine1Jhon Jairo Olaya Florez2Universidad de CaraboboUniversidad de CaraboboUniversidad Nacional de ColombiaA methodology was developed for analysing faults in distribution transformers using the statistical package for social sciences (SPSS); it consisted of organising and creating of database regarding failed equipment, incorporating such data into the processing programme and converting all the information into numerical variables to be processed, thereby obtaining descriptive statistics and enabling factor and discriminant analysis. The research was based on information provided by companies in areas served by Corpoelec (Valencia, Venezuela) and Codensa (Bogotá, Colombia).https://revistas.unal.edu.co/index.php/ingeinv/article/view/31938single-phase transformerdescriptive statisticsfactor analysisdiscriminant analysis
collection DOAJ
language English
format Article
sources DOAJ
author María Gabriela Mago Ramos
Luis Valles Defendine
Jhon Jairo Olaya Florez
spellingShingle María Gabriela Mago Ramos
Luis Valles Defendine
Jhon Jairo Olaya Florez
An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) software
Ingeniería e Investigación
single-phase transformer
descriptive statistics
factor analysis
discriminant analysis
author_facet María Gabriela Mago Ramos
Luis Valles Defendine
Jhon Jairo Olaya Florez
author_sort María Gabriela Mago Ramos
title An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) software
title_short An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) software
title_full An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) software
title_fullStr An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) software
title_full_unstemmed An analysis of distribution transformer failure using the statistical package for the social sciences (SPSS) software
title_sort analysis of distribution transformer failure using the statistical package for the social sciences (spss) software
publisher Universidad Nacional de Colombia
series Ingeniería e Investigación
issn 0120-5609
2248-8723
publishDate 2012-05-01
description A methodology was developed for analysing faults in distribution transformers using the statistical package for social sciences (SPSS); it consisted of organising and creating of database regarding failed equipment, incorporating such data into the processing programme and converting all the information into numerical variables to be processed, thereby obtaining descriptive statistics and enabling factor and discriminant analysis. The research was based on information provided by companies in areas served by Corpoelec (Valencia, Venezuela) and Codensa (Bogotá, Colombia).
topic single-phase transformer
descriptive statistics
factor analysis
discriminant analysis
url https://revistas.unal.edu.co/index.php/ingeinv/article/view/31938
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