Defect Characterization With Eddy Current Testing Using Nonlinear-Regression Feature Extraction and Artificial Neural Networks-Reference-Cited by-同舟云学术

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Defect Characterization With Eddy Current Testing Using Nonlinear-Regression Feature Extraction and Artificial Neural Networks

Published:2013-05 Issue:5 Volume:62 Page:1207-1214
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Rosado Luis S.,Janeiro Fernando M.,Ramos Pedro M.,Piedade Moises

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx5/19/6493455/06422389.pdf?arnumber=6422389

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Eddy Currents Probe Design for NDT Applications: A Review;Sensors;2024-09-07

2. Model for Predicting LISS Nozzle Proximity to CANDU Fuel Channels Using Eddy Current Measurements;IEEE Sensors Journal;2024-07-15

3. Past, Present, and Future of New Applications in Utilization of Eddy Currents;Technologies;2024-04-09

4. Metallic Surfaces Binary Reconstruction Using Eddy Current Sensors and Convolutional Neural Networks;IEEE Sensors Journal;2024-03-01

5. Advancing eddy current detection probes with magnetoelectric composite Materials: Enhancing crack detection in conductive materials;Journal of Magnetism and Magnetic Materials;2024-02

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