Application of Wavelet Analysis to the Signal Denoising of Dynamic Torque Test on the Power Plant
The theory of wavelet analysis was introduced, and the application of this theory to sample signal processing of the dynamic torque on the power plant was discussed. The signal was decomposed by wavelet transfer and then the noise was filtered by threshold quantity and the remainder is reconstructed, the denosing signal was finally accomplished. The experimental results showed that this method was very effective to the sample signal processing. In this way, it is advantageous for improving calculation precision of the torque measure value, it is propitious to analyze the experimental results.
torque power plant wavelet analysis signals denoise
LU Xutao SUN Yunqiang HUANG Zheng
Department of Communication Engineering Key Laboratory of Instrumentation Science & Dynamic Measurement-North University of China, Ministry
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）