基于神经网络融合的传感器温度误差补偿,电子机械工程网 关键词:温度误差补偿;神经网络;数据融合;漏磁检测 [gap=873]Key words:temperature error compensation;neural network;data fu sion;MFL detection
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MFL Detection for Pipeline 管道漏磁检测
The method can be used to optimize the detector structure to increase MFL detection measurement accuracy.
该方法有助于为优化检测器结构和提高漏磁检测的准确度提供重要的依据。
On the base of introducing the principle of the magnetic flux leakage (MFL) detection, the finite element method based on ANSYS used to simulate and analyze the MFL signal is presented.
在介绍漏磁检测原理的基础上，详细论述了利用有限元法分析缺陷信号的方法以及利用ANSYS对漏磁信号的仿真过程和仿真结果，并对结果进行分析。
Application of magnetic flux leakage (MFL) testing to the detection of corrosion in atmospheric storage tank floor was studied.
探讨了漏磁检测在常压储罐罐底腐蚀缺陷检测中的应用。
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