Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd
As one of the important components in the power system, establishing its accurate failure rate model is a prerequisite for improving the operation and maintenance efficiency of the power system. Firstly, based on the dissolved gas data of transformer oil, the threshold of state division is fuzzy...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2023-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2279 |
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| Summary: | As one of the important components in the power system, establishing its accurate failure rate model is a prerequisite for improving the operation and maintenance efficiency of the power system. Firstly, based on the dissolved gas data of transformer oil, the threshold of state division is fuzzy by introducing ridge membership function. Secondly, considering the difference of gas types generated during the decomposition of insulating materials under different conditions, the correlation between gas production rates is analyzed , and the weight of each gas state quantity is allocated by the improved entropy weight method. Thirdly, considering the health status and service life of transformer, the distribution model of transformer failure rate is established by data-driven generalized polynomial chaos method. Finally, through the example analysis and calculation, the failure rate model established in this paper has a high precision and has a certain value of engineering application. |
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| ISSN: | 1007-2683 |