Name
Title | ||
|---|---|---|
Voltage THD Analysis Using Knowledge Discovery in Databases With a Decision Tree Classifier. |
Abstract | ||
|---|---|---|
Industrial production has evolved significantly over the last decade. For this reason, it is necessary to obtain mathematical and computational tools that enable power systems engineers to make decisions that reduce harmonic distortions in accordance with international standards. This paper presents a total harmonic distortion (THD) assessment based on full knowledge discovery in databases (KDD) u... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2017.2778028 | IEEE Access |
Keywords | Field | DocType |
Data mining,Harmonic analysis,Computers,Decision trees,Knowledge discovery,Total harmonic distortion,Databases | Industrial production,Data mining,Decision tree,Electrical network,Total harmonic distortion,Computational intelligence,Computer science,Electric power system,Knowledge extraction,Decision tree learning,Database | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edson Farias de Oliveira | 1 | 0 | 0.34 |
| Maria Emília de Lima Tostes | 2 | 0 | 0.68 |
| Carlos Alberto Oliveira de Freitas | 3 | 0 | 0.68 |
| Jandecy Cabral Leite | 4 | 0 | 1.01 |