Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System
Power transformer plays a critical role in the reliability of the electrical networks. Thus, continuous monitoring and management of power transformers is of great importance. This research study aims at developing an integrated life estimation and asset management decision model based on adaptive n...
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/56428 |
| _version_ | 1848759873627488256 |
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| author | Forouhari, Mohammadsaleh |
| author_facet | Forouhari, Mohammadsaleh |
| author_sort | Forouhari, Mohammadsaleh |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Power transformer plays a critical role in the reliability of the electrical networks. Thus, continuous monitoring and management of power transformers is of great importance. This research study aims at developing an integrated life estimation and asset management decision model based on adaptive neuro fuzzy inference system. Implementation of this methodology is expected to project patterns in the practical measurements history of power transformers and to provide utilities with a more reliable asset management tool. |
| first_indexed | 2025-11-14T10:06:48Z |
| format | Thesis |
| id | curtin-20.500.11937-56428 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:06:48Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-564282017-09-01T02:44:37Z Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System Forouhari, Mohammadsaleh Power transformer plays a critical role in the reliability of the electrical networks. Thus, continuous monitoring and management of power transformers is of great importance. This research study aims at developing an integrated life estimation and asset management decision model based on adaptive neuro fuzzy inference system. Implementation of this methodology is expected to project patterns in the practical measurements history of power transformers and to provide utilities with a more reliable asset management tool. 2017 Thesis http://hdl.handle.net/20.500.11937/56428 Curtin University fulltext |
| spellingShingle | Forouhari, Mohammadsaleh Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System |
| title | Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System |
| title_full | Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System |
| title_fullStr | Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System |
| title_full_unstemmed | Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System |
| title_short | Remnant Life Estimation of Power Transformers Based on Chemical Diagnostic Parameters Using Adaptive Neuro-Fuzzy Inference System |
| title_sort | remnant life estimation of power transformers based on chemical diagnostic parameters using adaptive neuro-fuzzy inference system |
| url | http://hdl.handle.net/20.500.11937/56428 |