Fault diagnosis of oil‐immersed transformers based on the improved sparrow search algorithm optimised support vector machine
Author:
Affiliation:
1. College of Electrical Engineering & New Energy China Three Gorges University Yichang China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/elp2.12204
Reference25 articles.
1. A novel rule‐based evolving Fuzzy System applied to the thermal modeling of power transformers;Kstra A.;Appl. Soft Comput.,2021
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3. Fault diagnosis of oil‐immersed power transformers using kernel based extreme learning machine;Zhang L.;Eng. Sci.,2015
4. Dissolved gas analysis for common transformer faults in soy seed-based oil
5. Fault diagnosis of power transformers using multi-class least square support vector machines classifiers with particle swarm optimisation
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