Prediction modelling of power transformer health index
Also available in printed version
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| Format: | Master's thesis |
| Language: | English |
| Published: |
Universiti Teknologi Malaysia
2025
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| Subjects: | |
| Online Access: | https://utmik.utm.my/handle/123456789/39821 |
| Abstract | Abstract here |
| _version_ | 1854975087937060864 |
|---|---|
| author | Tajul Ariffin Aman |
| author2 | Saifulnizam Abd. Khalid, supervisor |
| author_facet | Saifulnizam Abd. Khalid, supervisor Tajul Ariffin Aman |
| author_sort | Tajul Ariffin Aman |
| description | Also available in printed version |
| format | Master's thesis |
| id | utm-123456789-39821 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-398212025-08-21T05:45:52Z Prediction modelling of power transformer health index Tajul Ariffin Aman Saifulnizam Abd. Khalid, supervisor Electrical engineering Also available in printed version Power transformer is a critical asset in Grid System and its failure can cause major downtime in the electrical supply with revenue losses to the power utilities. The reliability and availability of electrical network is highly depending on the high performance of the power transformer. The main objective of this thesis is to predict the health index of power transformer based on their individual pattern and characteristic. Each transformer make has different gases produced and detected by performing Dissolved Gas Analysis (DGA) test. Different transformer make will give different conditions of the transformer health index that was investigated in this research. The changes of the insulating oil properties are due to different value of gases produce was found in the transformer make and gas level response. The analysis using Matrix Laboratory (MATLAB) indicates that different combustible gases value gives different modelling pattern to identify the different make of transformer conditions based on their health index. In this research, the unique characteristic pattern of each transformer make was determined by single or double DGA gases above limit. Different make of power transformer usually using different make of transformer oil but with similar standard and quality requested from the utility. The combustible gases such as Methane (CH4), Ethylene (C2H4) and Ethane (C2H6) value may different from one manufacturer with another. Transformer with high Ethylene (C2H4) value but less than 65ppm, 70ppm, 80ppm, 100ppmand 120ppm show Good Condition of Health Index with different graphical pattern by different make of power transformer. Both Ethylene (C2H4) and Ethane (C2H6) gases with high value but less than 150ppm still show Good Condition of Health Index. High Methane (CH4) gas that more than 200ppm and high Ethane (C2H6) gas that more than 500ppm show Moderate Condition of health index. High Methane (CH4) gas but less than 130ppm and high Ethane (C2H6) gas but less than 210ppm also show Moderate Condition of Health Index. This research has demonstrated that different type of transformer will be having different type of gas produced and the pattern characteristic will show different type of health index. fahmimoksen UTM 121 p. Thesis (Sarjana Falsafah (Kejuruteraan Eletrik)) - Universiti Teknologi Malaysia, 2023 2025-03-05T04:54:52Z 2025-03-05T04:54:52Z 2023 Master's thesis https://utmik.utm.my/handle/123456789/39821 vital:156320 valet-20240313-143457 ENG Closed Access UTM Complete Unpublished Completion application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Electrical engineering Tajul Ariffin Aman Prediction modelling of power transformer health index |
| thesis_level | Master |
| title | Prediction modelling of power transformer health index |
| title_full | Prediction modelling of power transformer health index |
| title_fullStr | Prediction modelling of power transformer health index |
| title_full_unstemmed | Prediction modelling of power transformer health index |
| title_short | Prediction modelling of power transformer health index |
| title_sort | prediction modelling of power transformer health index |
| topic | Electrical engineering |
| url | https://utmik.utm.my/handle/123456789/39821 |
| work_keys_str_mv | AT tajulariffinaman predictionmodellingofpowertransformerhealthindex |