基于BP神经网络的油气管道缺陷磁记忆检测

Magnetic Memory Testing on Oil and Gas Pipeline Based on BP Neural Network

摘要: 基于磁记忆检测技术,根据神经网络理论,建立了BP神经网络模型,对管道缺陷进行了检测识别.在试验样本上,缺陷识别率达97.5%,基于BP神经网络的磁记忆检测技术,提高了管道缺陷的识别率.

Abstract: With the MMT,a Neural Network model is established to recognize the pipeline defect based on the Neural Network theory.The experiment result shows that The recognition rate of the pipeline defect is up to 97.5%.The recognition rate of the pipeline defect is improved by the MMT based on BP Neural Network.