Name
Title | ||
|---|---|---|
Transmission Line Fault Detection And Classification Using Cross-Correlation And K-Nearest Neighbor |
Abstract | ||
|---|---|---|
A method for detecting and classifying transmission line faults using cross-correlation and k-Nearest Neighbor (k-NN) has been presented in this article. A unique analogy between the cross-correlogram obtained from the sound phase and a faulty phase in an electric power system, defined here as the fault correlogram, and a normal electrocardiogram (ECG) of human heart has been validated in the proposed work. The proposed method uses synthetic fault data within half cycle of pre-fault and half cycle of post-fault to detect and classify the different faults under varying fault parameters. EMTP/ATP software has been used as the platform to carry out simulation of the power system network followed by signal processing in MATLAB. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/KES-150320 | INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS |
Keywords | Field | DocType |
Fault, cross-correlation, k-NN, electrocardiogram (ECG) | k-nearest neighbors algorithm,Signal processing,Emtp,Pattern recognition,Transmission line,Computer science,Fault detection and isolation,Electric power system,Artificial intelligence,Correlogram,Fault indicator | Journal |
Volume | Issue | ISSN |
19 | 3 | 1327-2314 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aritra Dasgupta | 1 | 175 | 12.02 |
| Sudipta Debnath | 2 | 0 | 0.68 |
| Arabinda Das | 3 | 0 | 0.34 |