摘要
条干均匀度仪的波谱图能够精确地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;但是如何将波谱图快速准确地实现一直是研究的难点;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地减小了以往所用硬件的复杂度、提高了运算速度并拓宽了波谱图的可观测范围,且能够更精确的检测出故障位置。
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 bandpass filter in the wavelength range that needs to be observed,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.
出处
《计算机测量与控制》
2017年第8期179-182,共4页
Computer Measurement &Control
基金
国家自然科学基金项目(U1504617)
关键词
波谱图
机械故障
带通滤波器
spectro graphic
mechanical failure
bandpass filter
