Development of Hypergraph Based Improved Random Forest Algorithm for Partial Discharge Pattern Classification

Development of Hypergraph Based Improved Random Forest Algorithm for Partial Discharge Pattern Classification

Precise partial discharge (PD) detection is a key factor in anticipating insulation failures. The continuous efforts of researchers have led to the design of a variety of algorithms focusing on PD pattern classification. However, the trade-off between features taken up for classification and the det...

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Bibliographic Details
Main Authors: Suganya Govindarajan, Jorge Alfredo Ardila-Rey, Kannan Krithivasan, Jayalalitha Subbaiah, Nikhith Sannidhi, M. Balasubramanian
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Hypergraph
partial discharge
pattern classification
random forest
recursive feature elimination
statistical features
Online Access:https://ieeexplore.ieee.org/document/9306776/

Internet

https://ieeexplore.ieee.org/document/9306776/

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