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Automatic Defect Detection Method for the Steel Cord Conveyor Belt Based on Its X-Ray Images

机译:基于X射线图像的钢丝绳输送带缺陷自动检测方法

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A new automatic defect detection method for the steel cord conveyor belt in X-ray imaging system was studied. Detecting the state of conveyor belt is important in production process such as coal mine concerning the safety and efficiency of coal production. In order to automatically detect the conveyor belt defects that often appear such as perforation, scratch, corrosion, broken end and joint end of steel cord, a method named regular bands (RB) was introduced. The RB method is based on the idea of periodicity. A description of the RB method with definitions, procedures, and explanations was given. And three kinds of defects of steel cord conveyor belt samples were used in the evaluation and a high detection success rate was achieved. This method for defect detecting can greatly improve the performance of processing. And the results show that the method is effective.
机译:研究了X射线成像系统中钢丝绳输送带自动缺陷检测的新方法。在煤矿等生产过程中,检测输送带的状态对于煤炭生产的安全性和效率至关重要。为了自动检测经常出现的传送带缺陷,例如穿孔,刮擦,腐蚀,钢丝绳末端和接头末端破损,引入了一种称为规则带(RB)的方法。 RB方法基于周期性的思想。给出了对RB方法的描述,包括定义,过程和说明。并对钢丝绳输送带样品的三种缺陷进行了评估,检测成功率很高。这种用于缺陷检测的方法可以大大提高处理性能。结果表明,该方法是有效的。

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