条干均匀度仪波谱图算法设计与实现

条干均匀度仪的波谱图能够精确的反映出纱疵的周期性特征,从而可以快速地确定出纺纱工艺流程中故障的位置,但是将波谱图快速准确的实现是研究的难点。本文基于数字信号处理中的重采样定理,通过对不同机械故障所产生的纱线信号进行分析,改进了条干均匀度仪波谱图算法,该算法在需要观测的波长范围内构建了110个不同频带的带通滤波器,根据相邻滤波器频带关系分组进行波谱分析。通过DSP28335微处理器的数据采集、信号处理和上位机波谱图显示的系统进行实验,结果证明了该算法的可行性。其改进后的算法极大的减小了以往所用硬件的复杂度、提高了运算速度并增加了波谱图的可观测范围,且能够更精确的检测出故障位置。

Realization of spectro graphic algorithm of strip evenness

The spectrogram of the dryness uniformity instrument can accurately reflect the periodic characteristics of the yarn defect, so that the position of the fault in the spinning process can be quickly determined. But how to quickly and accurately realize the spectrum is always the focus of the study. Based on the resampling theorem in digital signal processing, this paper analyzes the yarn signal generated by different mechanical faults, and improves the spectral algorithm of the uniformity of the strip. The algorithm builds 110 different wavelengths in the wavelength range that needs to be observed Band bandpass filter, according to the adjacent filter band relationship grouping analysis. Through the DSP28335 microprocessor data acquisition, signal processing and host computer spectrum display system experiments, the results prove the feasibility of the algorithm. The improved algorithm greatly reduces the complexity of the hardware used in the past, improves the operation speed and increases the observable range of the spectrum, and can detect the fault position more accurately.