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Magnetic Flux Leakage Sensing-based Steel Cable NDE Technique Incorporated on a Cable Climbing Robot for Bridge Structures

机译:磁通漏电感应钢电缆NDE技术采用电缆攀爬机器人,用于桥梁结构

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In this study, an automated cable monitoring system using a NDE technique and a cable climbing robot is proposed. MFL (Magnetic Flux Leakage- based inspection system was applied to monitor the condition of cables. This inspection system measures magnetic flux to detect the local faults (LF) of steel cable. To verify the feasibility of the proposed damage detection technique, an 8-channel MFL sensor head prototype was designed and fabricated. A steel cable bunch specimen with several types of damage was fabricated and scanned by the MFL sensor head to measure the magnetic flux density of the specimen. To interpret the condition of the steel cable, magnetic flux signals were used to determine the locations of the flaws and the level of damage. Measured signals from the damaged specimen were compared with thresholds set for objective decision making. In addition, the measured magnetic flux signal was visualized into a 3D MFL map for convenient cable monitoring. Finally, the results were compared with information on actual inflicted damages to confirm the accuracy and effectiveness of the proposed cable monitoring method.
机译:在本研究中,提出了一种使用NDE技术和电缆攀爬机器人的自动电缆监测系统。 MFL(基于磁通泄漏的检测系统用于监测电缆的状况。该检查系统测量磁通量以检测钢电缆的局部故障(LF)。验证拟议损坏检测技术的可行性,8- Channel MFL传感器头原型设计和制作。由MFL传感器头制造并扫描具有几种损坏的钢电缆束样品,以测量样本的磁通密度。以解释钢电缆,磁通量的条件信号用于确定缺陷的位置和损坏水平。将来自损坏样本的测量信号与设置为客观决策的阈值进行比较。此外,测量的磁通量信号被可视化为3D MFL映射以实现方便电缆监测。最后,将结果与实际造成损害赔偿的信息进行了比较,以确认所提出的驾驶室的准确性和有效性LE监测方法。

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