Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers
This paper proposes a probabilistic health index-based method for estimating the apparent age of power transformer. Compared with the conventional weighted-score-sum based health index, the probabilistic health index is calculated as a data fusion result of kinds of transformer condition monitoring...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8949535/ |
| _version_ | 1818444401044619264 |
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| author | Shuaibing Li Guangning Wu Haiying Dong Lei Yang Xiaofei Zhen |
| author_facet | Shuaibing Li Guangning Wu Haiying Dong Lei Yang Xiaofei Zhen |
| author_sort | Shuaibing Li |
| collection | DOAJ |
| description | This paper proposes a probabilistic health index-based method for estimating the apparent age of power transformer. Compared with the conventional weighted-score-sum based health index, the probabilistic health index is calculated as a data fusion result of kinds of transformer condition monitoring data through a constructed Bayesian belief network. The regression result of such a probabilistic health index is then applied to estimate the apparent age of the transformer through a few steps listed in the paper. The apparent age not only embodies an overall health status a transformer but also helpful for sorting a transformer fleet based on the estimated apparent age or even make it easy to make comparisons between transformer fleets. The estimated apparent age can be taken as a reference for power utilities to prioritize transformers and pay attention to the unit who owns the maximum apparent age among a fleet, thus helps to schedule replacement plans. Case studies with different transformers verify the usability and prove the advantages of the proposed method. |
| first_indexed | 2024-12-14T19:15:21Z |
| format | Article |
| id | doaj.art-0a1bbc433b074f44b4af695069ac42f1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T19:15:21Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0a1bbc433b074f44b4af695069ac42f12022-12-21T22:50:37ZengIEEEIEEE Access2169-35362020-01-0189692970110.1109/ACCESS.2020.29639638949535Probabilistic Health Index-Based Apparent Age Estimation for Power TransformersShuaibing Li0https://orcid.org/0000-0002-0680-5796Guangning Wu1https://orcid.org/0000-0002-7920-6129Haiying Dong2https://orcid.org/0000-0002-3909-3246Lei Yang3https://orcid.org/0000-0002-8454-0287Xiaofei Zhen4https://orcid.org/0000-0002-8741-5107School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaThis paper proposes a probabilistic health index-based method for estimating the apparent age of power transformer. Compared with the conventional weighted-score-sum based health index, the probabilistic health index is calculated as a data fusion result of kinds of transformer condition monitoring data through a constructed Bayesian belief network. The regression result of such a probabilistic health index is then applied to estimate the apparent age of the transformer through a few steps listed in the paper. The apparent age not only embodies an overall health status a transformer but also helpful for sorting a transformer fleet based on the estimated apparent age or even make it easy to make comparisons between transformer fleets. The estimated apparent age can be taken as a reference for power utilities to prioritize transformers and pay attention to the unit who owns the maximum apparent age among a fleet, thus helps to schedule replacement plans. Case studies with different transformers verify the usability and prove the advantages of the proposed method.https://ieeexplore.ieee.org/document/8949535/Apparent ageBayesian belief networkcondition monitoring datahealth indexpower transformer |
| spellingShingle | Shuaibing Li Guangning Wu Haiying Dong Lei Yang Xiaofei Zhen Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers IEEE Access Apparent age Bayesian belief network condition monitoring data health index power transformer |
| title | Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers |
| title_full | Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers |
| title_fullStr | Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers |
| title_full_unstemmed | Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers |
| title_short | Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers |
| title_sort | probabilistic health index based apparent age estimation for power transformers |
| topic | Apparent age Bayesian belief network condition monitoring data health index power transformer |
| url | https://ieeexplore.ieee.org/document/8949535/ |
| work_keys_str_mv | AT shuaibingli probabilistichealthindexbasedapparentageestimationforpowertransformers AT guangningwu probabilistichealthindexbasedapparentageestimationforpowertransformers AT haiyingdong probabilistichealthindexbasedapparentageestimationforpowertransformers AT leiyang probabilistichealthindexbasedapparentageestimationforpowertransformers AT xiaofeizhen probabilistichealthindexbasedapparentageestimationforpowertransformers |