Research Article
Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine
Algorithm 1
Proposed OTQWT algorithm.
| (1) | Initialize and | | (2) | Get using equation (13) | | (3) | Decompose the signal by OTQWT using and | | (4) | Obtain the approximate signal using inverse OTQWT with and N (number of samples) | | (5) | Find the mean square error, using equation (16) | | (6) | While (min(MSE)) do | | (7) | If (MSE = = min) then | | (8) | Optimum and | | (9) | Else | | (10) | Iterate with different and | | (11) | End if | | (12) | End while | | (13) | Choose the values of and for minimum MSE | | (14) | Find from and for each signal | | (15) | Repeat steps 1–14 for each PQD signal | | (16) | Find the optimum decomposition level from using equation (18) | | (17) | Decompose the PQD signal by OTQWT using and |
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