Automatic classification of magnetic tiles internal defects based on acoustic resonance analysis

作者：Huang Qinyuan; Yin Ying^*; Yin Guofu

来源：Mechanical Systems and Signal Processing, 2015, 60-61: 45-58.

DOI：10.1016/j.ymssp.2015.02.018

• Magnetic tile
• Internal defect
• Wavelet packet transform (WPT)
• Linear discriminant analysis (LDA)
• Support vector machine (SVM)

A novel signal processing method using wavelet packet transform (WPT), linear discriminant analysis (LDA) and support vector machine (SVM) is presented for detecting internal defects in magnetic tile. In this methodology, the acoustic signal obtained by a mechanical system based on acoustic resonance is analyzed. WPT is applied to extract the normalized features of the signal. The internal defects are identified by SVM based on the extracted features optimized by LDA and a constraint algorithm. The experimental results demonstrate that the presented approach can be employed for a promising application of automatic detection of internal defects in magnetic tile.

• 出版日期2015-8