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Fuzzy Logic Error Compensation Scheme for Eddy Current Testing Measurement on Mild Steel Superficial Crack

机译:温和钢浅表裂纹涡流试验测量模糊逻辑误差补偿方案

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Accurate measurement the depth of defect is essential to ensure the reliability and integrity of the pipe line structure and safety of the personnel workers in the oil and gas industry. This study proposes intelligent algorithm base on Fuzzy logic scheme to compensate the depth error measurement of GMR sensor on mild steel superficial crack. Intelligent rules in Fuzzy logic scheme allows the propose method to be effective on compensate lift off effect in between 1 and 4 mm. The Eddy current testing probe is design by utilize the sensitive of GMR sensor on magnetic field in order to improve the accuracy depth crack measurement on mild steel. The Arduino Mega 2650 was used as a data processing device for receiving and transmitting of signal through the available fifty-four digital pins (as input and output) and sixteen analogue pins. MATLAB is use as a platform to design and implementation the Fuzzy error compensation. The experiment results show the proposed sensor error compensation scheme able to reduce the error measurement up to 23%.
机译:准确测量缺陷深度至关重要,以确保管道线路结构和石油和天然气工业人员人员安全性的可靠性和完整性。本研究提出了对模糊逻辑方案的智能算法基础,以补偿MGR传感器对温和钢浅表裂纹的深度误差测量。模糊逻辑方案中的智能规则允许提议的方法在补偿升降机效应1到4毫米之间有效。涡流测试探头是通过利用GMR传感器的敏感性在磁场上设计,以提高温和钢的精度深度裂缝测量。 Arduino Mega 2650用作数据处理设备,用于通过可用的五十四个数字引脚(作为输入和输出)和十六个模拟引脚接收和传输信号。 MATLAB用作设计和实现模糊误差补偿的平台。实验结果表明,所提出的传感器误差补偿方案能够将误差测量降低到23%。

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