首页> 外文期刊>Journal of manufacturing science and engineering: Transactions of the ASME >An on-line monitoring system to recognize stitch defects through thread motion and high speed image analyses
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An on-line monitoring system to recognize stitch defects through thread motion and high speed image analyses

机译:在线监测系统,可通过线运动和高速图像分析识别针迹缺陷

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摘要

A sensor system that inspects a garment as it is being sewn has the potential to eliminate much of the cost associated with inspection and to improve product quality. An economically feasible on-line stitch quality monitoring system is underdevelopment that utilizes commercially-available, low-cost piezoelectric sensors and a PC-based Linux data acquisition system. The sensors respond to the vibration caused by the thread motion and output a corresponding waveform used to study and model the formation of single stitches. As a result, the presence of periodic occurrences can be identified and attributed to proper stitch formation. Conversely, the absence of such events can be utilized to signal the presence of single stitch defects anddiagnose their causes. Finally, high speed image analysis of the sewing threads has verified conclusions drawn from the output signals of the piezoelectric sensors and contributed to a better understanding of the dynamics involved in high speed sewing.
机译:在缝制服装时检查服装的传感器系统可以消除许多与检查相关的成本并提高产品质量。经济上可行的在线针迹质量监控系统正在开发中,该系统利用商业上可用的低成本压电传感器和基于PC的Linux数据采集系统。传感器响应线运动引起的振动,并输出相应的波形,用于研究和模拟单针迹的形成。结果,可以识别出周期性出现的现象并归因于适当的线圈形成。相反,不存在此类事件可用于发出单针迹缺陷的信号并诊断其原因。最后,缝纫线的高速图像分析已经验证了从压电传感器的输出信号得出的结论,并有助于更好地理解高速缝纫中涉及的动力学。

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