| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6860900 | International Journal of Electrical Power & Energy Systems | 2012 | 8 Pages |
Abstract
⺠A new approach based on DWT, linear Kalman filter and fuzzy expert system for classifying PQ disturbances is presented. ⺠DWT is used to enhance the performance of Kalman filter. ⺠Kalman filter is used to extract two parameters (amplitude and slope of amplitude) from the distorted waveform. ⺠Fuzzy expert is applied with 10 rules on the two parameters to classify the disturbance in the distorted waveform. ⺠Several simulation and practical data are used to validate the proposed technique.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Abdelazeem A. Abdelsalam, Azza A. Eldesouky, Abdelhay A. Sallam,