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| Ultrasonic Testing Based Multi-feature Extraction of UAV Composite Materials |
| WANG Feng-lin,WANG Chang-long,HU Yong-jiang |
| Department of UAV Engineering, Ordnance Engineering College, Shijiazhuang, Hebei 050003, China |
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Abstract Due to the single feature extraction has not exert information as well as different features have different importance while recognizing UAV composite materials flaws, a method for multi-feature extraction in wavelet packet field and time-field is proposed. The new approach firstly decomposes signal with wavelet packet to get feature, using principal component analysis to decrease the dimension of feature vectors, then, extracts time-field feature considering composite materials characters. at last, the combined feature vectors algorithm is proposed using the matching method. The experimental results indicate the effectiveness of the proposed feature vectors while classifying the bond flaws in composite materials.
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2014, Vol. 35 
