高强度的纱线要求有相当大的捻度，但是超过最佳捻度后，附加的捻度会使纱线扭结，最终降低纱线的强力。
Strong yarns require considerable twist. However, beyond an optimum point additional twist will cause yarns to kink and finally to lose strength.
纱线单位长度上的湿扭结个数是评价和衡量纱线残余扭矩的一项重要间接指标。
The number of yarn wet snarling per unit length is an important indirect index for the evaluation of yarn residual torque.
结合数字图像和信号处理技术，提出了一种基于纱线图像的扭结分布特征的自动识别方法。
A computerized characterization method for the yarn snarling distribution was proposed by applying the digital image and signal processing techniques to the actual yarn snarling images.
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