Analysis of significant factors on transformer failure by the Cox proportional hazards model

As a hub for transforming voltage and exchanging power in the power system, transformers play an increasingly important role as the voltage level of the power system continues to increase and the power grid becomes more and more complex. Their safe and reliable operation will directly affect the saf...

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Main Author: Xu, Qianxin
Other Authors: Hu Guoqiang
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160985
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1609852022-08-11T02:58:14Z Analysis of significant factors on transformer failure by the Cox proportional hazards model Xu, Qianxin Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power As a hub for transforming voltage and exchanging power in the power system, transformers play an increasingly important role as the voltage level of the power system continues to increase and the power grid becomes more and more complex. Their safe and reliable operation will directly affect the safety level of the power system and is of great significance in improving the reliability level of the entire power system. Survival analysis has been applied in various fields, and the deep mining of transformer fault information can improve the analysis of transformer fault influencing factors. The Cox proportional hazards model can quantitatively analyze the influence of different risk factors on transformer life. The aim of this paper is to investigate the factors affecting transformer reliability and survival life. In order to demonstrate the usability of the model, the actual operation of transformers produced by an energy company is studied in order to quantitatively analyze the factors affecting transformer failure and to guide transformer operation and maintenance. This paper firstly investigates the typical life distribution of transformers and statistical modelling of failure data based on literature research etc.; secondly, it describes the basic concepts of survival analysis, the basic principles of the Cox proportional hazards model; the raw data is processed, the Cox model is implemented using transformer survival data containing multiple covariates, the regression results of the Cox model are interpreted according to different statistical indicators, and the visualization of the Cox model results to clearly illustrate the impact of covariates on transformers. Master of Science (Computer Control and Automation) 2022-08-11T02:58:14Z 2022-08-11T02:58:14Z 2022 Thesis-Master by Coursework Xu, Q. (2022). Analysis of significant factors on transformer failure by the Cox proportional hazards model. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/160985 https://hdl.handle.net/10356/160985 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electric power
spellingShingle Engineering::Electrical and electronic engineering::Electric power
Xu, Qianxin
Analysis of significant factors on transformer failure by the Cox proportional hazards model
description As a hub for transforming voltage and exchanging power in the power system, transformers play an increasingly important role as the voltage level of the power system continues to increase and the power grid becomes more and more complex. Their safe and reliable operation will directly affect the safety level of the power system and is of great significance in improving the reliability level of the entire power system. Survival analysis has been applied in various fields, and the deep mining of transformer fault information can improve the analysis of transformer fault influencing factors. The Cox proportional hazards model can quantitatively analyze the influence of different risk factors on transformer life. The aim of this paper is to investigate the factors affecting transformer reliability and survival life. In order to demonstrate the usability of the model, the actual operation of transformers produced by an energy company is studied in order to quantitatively analyze the factors affecting transformer failure and to guide transformer operation and maintenance. This paper firstly investigates the typical life distribution of transformers and statistical modelling of failure data based on literature research etc.; secondly, it describes the basic concepts of survival analysis, the basic principles of the Cox proportional hazards model; the raw data is processed, the Cox model is implemented using transformer survival data containing multiple covariates, the regression results of the Cox model are interpreted according to different statistical indicators, and the visualization of the Cox model results to clearly illustrate the impact of covariates on transformers.
author2 Hu Guoqiang
author_facet Hu Guoqiang
Xu, Qianxin
format Thesis-Master by Coursework
author Xu, Qianxin
author_sort Xu, Qianxin
title Analysis of significant factors on transformer failure by the Cox proportional hazards model
title_short Analysis of significant factors on transformer failure by the Cox proportional hazards model
title_full Analysis of significant factors on transformer failure by the Cox proportional hazards model
title_fullStr Analysis of significant factors on transformer failure by the Cox proportional hazards model
title_full_unstemmed Analysis of significant factors on transformer failure by the Cox proportional hazards model
title_sort analysis of significant factors on transformer failure by the cox proportional hazards model
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/160985
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