A Pipeline Defect Inversion Method With Erratic MFL Signals Based on Cascading Abstract Features-Reference-Cited by-同舟云学术

A Pipeline Defect Inversion Method With Erratic MFL Signals Based on Cascading Abstract Features

Author:

Zhang Huaguang¹^ORCID,Wang Lei²^ORCID,Wang Jianfeng³^ORCID,Zuo Fengyuan²^ORCID,Wang Jifeng⁴^ORCID,Liu Jinhai¹^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

2. College of Information Science and Engineering, Northeastern University, Shenyang, China

3. Development and Production Department, China National Offshore Oil Corporation, Beijing, China

4. Pipeline Pressure Inspection Room, Shanghai Institute of Special Equipment Inspection and Technical Research, Shanghai, China

Funder

National Natural Science Foundation of China

LiaoNing Revitalization Talents Program

Fundamental Research Funds for the Central Universities of China

Program of Shanghai Technology Research Leader

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference36 articles.

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