Failure analysis for power systems - data collection, model implementation and user interface design

Failure analysis for power systems - data collection, model implementation and user interface design

Transformer is a crucial component in the power system, failure of a transformer can cause power outage of the whole system network, hence it is crucial to make sure that the transformers are well maintained and fault free. Faults can occur anytime due to the harsh conditions that transformers are o...

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Main Author: Ng, Eddie Yongshun
Other Authors: Hu, Guoqiang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/149994
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1499942023-07-07T18:30:44Z Failure analysis for power systems - data collection, model implementation and user interface design Ng, Eddie Yongshun Hu, Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering Transformer is a crucial component in the power system, failure of a transformer can cause power outage of the whole system network, hence it is crucial to make sure that the transformers are well maintained and fault free. Faults can occur anytime due to the harsh conditions that transformers are operating in. In any case of transformer fault, we must be able to diagnose and categorize faults accurately and provide the necessary solution as soon as possible. This paper focuses on the different methods of analysis for Dissolved Gas Analysis (DGA) and creating the models to diagnose and categorize faults using python. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-10T02:12:55Z 2021-06-10T02:12:55Z 2021 Final Year Project (FYP) Ng, E. Y. (2021). Failure analysis for power systems - data collection, model implementation and user interface design. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149994 https://hdl.handle.net/10356/149994 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
spellingShingle Engineering::Electrical and electronic engineering
Ng, Eddie Yongshun
Failure analysis for power systems - data collection, model implementation and user interface design
description Transformer is a crucial component in the power system, failure of a transformer can cause power outage of the whole system network, hence it is crucial to make sure that the transformers are well maintained and fault free. Faults can occur anytime due to the harsh conditions that transformers are operating in. In any case of transformer fault, we must be able to diagnose and categorize faults accurately and provide the necessary solution as soon as possible. This paper focuses on the different methods of analysis for Dissolved Gas Analysis (DGA) and creating the models to diagnose and categorize faults using python.
author2 Hu, Guoqiang
author_facet Hu, Guoqiang
Ng, Eddie Yongshun
format Final Year Project
author Ng, Eddie Yongshun
author_sort Ng, Eddie Yongshun
title Failure analysis for power systems - data collection, model implementation and user interface design
title_short Failure analysis for power systems - data collection, model implementation and user interface design
title_full Failure analysis for power systems - data collection, model implementation and user interface design
title_fullStr Failure analysis for power systems - data collection, model implementation and user interface design
title_full_unstemmed Failure analysis for power systems - data collection, model implementation and user interface design
title_sort failure analysis for power systems - data collection, model implementation and user interface design
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149994
_version_ 1772828000736247808

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