Research on Improving Leapfrog Algorithm to Optimize Transformer Fault Diagnosis with Support Vector Machine
The transformer fault diagnosis model based on the improved leapfrog algorithm support vector machine is significantly higher in prediction accuracy than other intelligent optimization algorithms, and the transformer equipment fault diagnosis model is more feasible. Therefore, the algorithm studied in this paper will also have potential application value in the daily operation and maintenance management of substation power grid.
Authors
- Qian Zhang (ORCID: https://orcid.org/0000-0002-7488-449X)
- Yunhai Hou
Institutions
- Changchun University of Technology (CN)
Publication Details
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1109/icmtim65484.2025.11040792
- Primary Topic
- Advanced Decision-Making Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00