Second Generation Wavelet-based Denoising Technique for Track Inspection Signal
Gap signal was utilized to inspect the track irregularities of high-speed maglev in track inspection system. A spike occurs to the gap signal when the gap sensor mounted on magnet unit passes by the beam joint. When a convertional filter was used for denoising the gap signal, the spike was also removed. However, wavelet-based denoising technique is available due to the multi-resolution feature of the wavelet transform. In this paper, second generation wavelet transform (SGWT) was employed to construct wavelet for denoising the gap signal. The corresponding predictor and update operator were designed, and the predefined soft-thresholding was used to modify the wavelet coefficients. Simulations were used to select the predictor and update operator for the measured gap signal denoising. The results show that when the gap signal is decomposed into three multi-resolution levels, SGWT can reduce the noise from the gap signal effectively, while the spike is also preserved. And this method is suitable to the real-time implementation for the track inspection system.
Track inspection high-speed maglev second generation wavelet transform denoising
Zheng Shubin Lin Jianhui Lin Guobin
National Traction Power Lab.,Southwest Jiaotong University,Chengdu 610031,China Shanghai Maglev Transportation Engineering Technology R&D Center,Shanghai 201204,China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）