A Multisensor Cycle-Supervised Convolutional Neural Network for Anomaly Detection on Magnetic Flux Leakage Signals
Author:
Affiliation:
1. College of Information Science and Engineering, Northeastern University, Shenyang, China
2. State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, 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,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9895125/09695226.pdf?arnumber=9695226
Reference25 articles.
1. Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach
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