An Intelligent Defect Detection Approach Based on Cascade Attention Network Under Complex Magnetic Flux Leakage Signals-Reference-Cited by-同舟云学术

An Intelligent Defect Detection Approach Based on Cascade Attention Network Under Complex Magnetic Flux Leakage Signals

Published:2023-07 Issue:7 Volume:70 Page:7417-7427
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Liu Jinhai¹^ORCID,Shen Xiangkai²^ORCID,Wang Jianfeng³^ORCID,Jiang Lin²^ORCID,Zhang Huaguang¹^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Processes Industries and the College of Information Science and Engineering, 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

Funder

National Natural Science Foundation of China

LiaoNing Revitalization Talents Program

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10048563/09870623.pdf?arnumber=9870623

Reference30 articles.

1. Anomaly Detection of Complex MFL Measurements Using Low-Rank Recovery in Pipeline Transportation Inspection

2. Trajectory Tracking Control of Autonomous Ground Vehicles Using Adaptive Learning MPC

3. Detection and Classification of Defects Using ECT and Multi-Level SVM Model

4. Shaking Noise Elimination for Detecting Local Flaw in Steel Wire Ropes Based on Magnetic Flux Leakage Detection

5. A Multi-Fault Detection Method With Improved Triplet Loss Based on Hard Sample Mining

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