MARATTO

article · Electrical Engineering

Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysis

202333 citationsUniversity of Douala

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

  • Power Transformer Diagnostics and Insulation
  • Advanced Computational Techniques and Applications
  • Power Systems Fault Detection

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1007/s00202-023-02084-y

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.