公开(公告)号：US20200210826A1

公开(公告)日：2020-07-02

申请号：US16345657

申请日：2019-02-13

Applicant: Northeastern University

Inventor： Jin hai LIU ,  Ming rui FU ,  Sen xiang LU ,  Hua guang ZHANG ,  Da zhong MA ,  Gang WANG ,  Jian FENG ,  Xin bo ZHANG ,  Ge YU ,  Hong qiu WEI

IPC: G06N3/08 ,  G06Q10/00 ,  G06N3/04 ,  G06N20/20 ,  G06N5/00 ,  G01N27/82

Abstract: Provided is an intelligent analysis system for inner detecting magnetic flux leakage (MFL) data in pipelines, including a complete data set building module, a discovery module, a quantization module and a solution module, wherein: a complete data set building method is adopted in the complete data set building module to obtain a complete magnetic flux leakage data set; a pipeline connecting component discovery method is adopted in the discovery module to obtain the precise position of a weld; an anomaly candidate region search and identification method is adopted in the discovery model to find out magnetic flux leakage signals with defects; a defect quantization method based on a random forest is adopted in the quantization module to obtain a defect size; and a pipeline solution based on an improved ASME B31G standard is adopted in the solution module to output an evaluation result.