A Novel Wavelet Packet Transform Based Feature Extraction Algorithm For Image Texture Classification

Author(s):  
S. Selvan ◽  
S. Ramakrishnan
2014 ◽  
Vol 494-495 ◽  
pp. 1410-1413
Author(s):  
Rong Hua ◽  
Ping Ping Ji

This paper study a fault feature extraction method based on wavelet packet transform, using this method to extract fault information of output signal in the NPC three-level inverter fault. After analysis the structure principle of NPC three-level inverter and the wavelet packets fault feature extraction algorithm, brings up a fault feature extraction procedure of NPC three-level inverter based on wavelet packet transform. Through MATLAB simulation experiments, prove the rationality of wavelet packet transform in fault feature extraction, and the reliability in intelligent fault diagnosis.


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