Partial discharge source discrimination using a support vector machine

By L. Hao, Paul Lewin. IEEE transactions on dielectrics and electrical insulation, 2010

167 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Electrical and Electronic Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/02922ea53c17aad6fb4763e9cf6e9087798a2d06

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Xiaoxing Zhang
2. Hao Cui

In Materials Chemistry

1. Xiaoxing Zhang
2. Hao Cui

Citations in the corpus

• Partial discharge recognition through an analysis of SF6 decomposition products part 2: feature extraction and decision tree-based pattern recognition (2012, methodology): “Also the classification accuracy of the decision tree is almost the IEEE Transactions on Dielectrics and Electrical Insulation Vol. 19, No. 1; February 2012 41 same as ANN and SVM in most conditions in diagnosing electric power apparatuses.”