基于放电检测和机器视觉技术的 火花塞缺陷检测系统.

To reduce the errors caused by traditional human visual inspection and improve the efficiency of spark plug defect detection, a spark plug defect detection system was designed based on discharge detection technology and machine vision technology. The spark plug defect detection system was composed of industrial computer, NI DAQ data acquisition card, IGBT driver board, IGBT module, ignition coil, voltage dividing module and industrial camera. Pulse width modulation technology and electromagnetic induction principle were used to apply high voltage to spark plug. The location information of spark discharged by spark plug under high voltage output of the ignition coil was captured to detect the defect in ceramic parts. The experimental results show that the high voltage output of the spark plug defect detection system is safe and measurable, and the detection accuracy is as high as 95%, which meets the actual application requirements of spark plug defect detection. [ABSTRACT FROM AUTHOR]

为了减少传统人眼目测检测造成的误差,提高火花塞的缺陷检测效率,设计了1种基于放电检测技术和机器视觉技术的火花塞缺陷检测系统.火花塞缺陷检测系统由工控机、NI DAQ数据采集卡、IGBT驱动板、IGBT模块、点火线圈、分压模块和工业相机构成.利用脉宽调制技术和电磁感应原理,对火花塞施加电压,通过抓拍点火线圈电压输出下火花塞放电火花的位置信息,检测火花塞陶瓷件是否存在缺陷.试验结果表明:该火花塞缺陷检测系统输出的放电高电压安全可测,检测精度更是高达95%,满足了火花塞缺陷检测的实际应用需求. [ABSTRACT FROM AUTHOR]