Transformer life prediction using data from units removed from service
Power transformers are used in the transmission and distribution of electrical power. Installed at power stations, they could be used to raise the voltage from the generators, and transformers at local substations could reduce voltage to supply loads. Power transformers are very important in this...
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| Format: | Thesis |
| Language: | English English English |
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2013
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| Online Access: | http://eprints.uthm.edu.my/2152/ http://eprints.uthm.edu.my/2152/1/24p%20UMMU%20UMAIRAH%20MOHAMAD%20ALI.pdf http://eprints.uthm.edu.my/2152/2/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2152/3/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20WATERMARK.pdf |
| _version_ | 1848887658368991232 |
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| author | Mohamad Ali, Ummu Umairah |
| author_facet | Mohamad Ali, Ummu Umairah |
| author_sort | Mohamad Ali, Ummu Umairah |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Power transformers are used in the transmission and distribution of electrical power.
Installed at power stations, they could be used to raise the voltage from the
generators, and transformers at local substations could reduce voltage to supply
loads. Power transformers are very important in this day and age, where electricity
has almost become a necessity of life. Hence, effort should be taken into studying
them and learning all we can about maximizing their efficiency, cost effectiveness,
and lifespan. Predicting the lifespan of a power transformer has been considered an
important issue for energy companies for some time. Power transformers that reach
the end of its life usually do so unexpectedly, causing power reliability problems,
which cost a lot of money. Knowing the factors that play part in the degrading
process of a power transformer could help power companies determine how long a
power transformer have before breaking down, and allow them to perform any
necessary action (i.e. replacement) before the power transformer starts giving
problems. Applying IEEE transformer loading guide the life consumed during a
transformer operation could be assessed by the ambient temperature and loading
profile. This helps to understand the "health" condition of a operating transformer
and assess the remaining life of the transformer. This project carried out study on
thermal modelling of a transformer. Using statistical data of the weather and power
system, the power transformer life will be estimated and analysed. This project
focuses on the life assessment of the insulation for power transformers by using
thermal modelling. Load and ambient temperature are the two important factors that
influence the life of insulation in transformers. |
| first_indexed | 2025-11-15T19:57:53Z |
| format | Thesis |
| id | uthm-2152 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-15T19:57:53Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-21522021-10-31T02:49:32Z http://eprints.uthm.edu.my/2152/ Transformer life prediction using data from units removed from service Mohamad Ali, Ummu Umairah TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Power transformers are used in the transmission and distribution of electrical power. Installed at power stations, they could be used to raise the voltage from the generators, and transformers at local substations could reduce voltage to supply loads. Power transformers are very important in this day and age, where electricity has almost become a necessity of life. Hence, effort should be taken into studying them and learning all we can about maximizing their efficiency, cost effectiveness, and lifespan. Predicting the lifespan of a power transformer has been considered an important issue for energy companies for some time. Power transformers that reach the end of its life usually do so unexpectedly, causing power reliability problems, which cost a lot of money. Knowing the factors that play part in the degrading process of a power transformer could help power companies determine how long a power transformer have before breaking down, and allow them to perform any necessary action (i.e. replacement) before the power transformer starts giving problems. Applying IEEE transformer loading guide the life consumed during a transformer operation could be assessed by the ambient temperature and loading profile. This helps to understand the "health" condition of a operating transformer and assess the remaining life of the transformer. This project carried out study on thermal modelling of a transformer. Using statistical data of the weather and power system, the power transformer life will be estimated and analysed. This project focuses on the life assessment of the insulation for power transformers by using thermal modelling. Load and ambient temperature are the two important factors that influence the life of insulation in transformers. 2013-01 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2152/1/24p%20UMMU%20UMAIRAH%20MOHAMAD%20ALI.pdf text en http://eprints.uthm.edu.my/2152/2/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/2152/3/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20WATERMARK.pdf Mohamad Ali, Ummu Umairah (2013) Transformer life prediction using data from units removed from service. Masters thesis, Universiti Tun Hussein Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Mohamad Ali, Ummu Umairah Transformer life prediction using data from units removed from service |
| title | Transformer life prediction using data from units removed from service |
| title_full | Transformer life prediction using data from units removed from service |
| title_fullStr | Transformer life prediction using data from units removed from service |
| title_full_unstemmed | Transformer life prediction using data from units removed from service |
| title_short | Transformer life prediction using data from units removed from service |
| title_sort | transformer life prediction using data from units removed from service |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers |
| url | http://eprints.uthm.edu.my/2152/ http://eprints.uthm.edu.my/2152/1/24p%20UMMU%20UMAIRAH%20MOHAMAD%20ALI.pdf http://eprints.uthm.edu.my/2152/2/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2152/3/UMMU%20UMAIRAH%20MOHAMAD%20ALI%20WATERMARK.pdf |