Name
Title | ||
|---|---|---|
Application of Digital Image Processing to Detect Short-Circuit Turns in Power Transformers Using Frequency Response Analysis. |
Abstract | ||
|---|---|---|
Although a frequency response analysis (FRA) technique has been extensively used to detect mechanical deformation within power transformers, interpretation of FRA signature still needs a high level of expertise to identify and quantify faults as there is no FRA interpretation code widely accepted yet. All commercial frequency response analyzers can measure the magnitude and phase angle of the impe... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TII.2016.2594773 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Feature extraction,Windings,Circuit faults,Power transformer insulation,Oil insulation,Conductors | Frequency response,Computer science,Transformer,Electronic engineering,Feature extraction,Electrical impedance,Transfer function,Electromagnetic coil,Digital image processing,Admittance | Journal |
Volume | Issue | ISSN |
12 | 6 | 1551-3203 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar M. Aljohani | 1 | 1 | 1.09 |
| Ahmed Abu-Siada | 2 | 7 | 7.84 |