A Single-Stage Enhancement-Identification Framework for Pipeline MFL Inspection-Reference-Cited by-同舟云学术

A Single-Stage Enhancement-Identification Framework for Pipeline MFL Inspection

Published:2022 Issue: Volume:71 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Feng Jian¹^ORCID,Zhang Xinbo²^ORCID,Lu Senxiang¹^ORCID,Yang Feiran²^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China

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

Funder

National Natural Science Foundation of China

LiaoNing Revitalization Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09782869.pdf?arnumber=9782869

Reference33 articles.

1. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

2. Dipole Modeling of Magnetic Flux Leakage

3. Big Data Transmission in Industrial IoT Systems With Small Capacitor Supplying Energy

4. A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System

5. Review of pipeline integrity management practices

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