4.8 Article

Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Instruments & Instrumentation

Deep learning based crack damage detection technique for thin plate structures using guided lamb wave signals

Heng Liu et al.

SMART MATERIALS AND STRUCTURES (2020)

Article Materials Science, Characterization & Testing

Performance enhancement of convolutional neural network for ultrasonic flaw classification by adopting autoencoder

Nauman Munir et al.

NDT & E INTERNATIONAL (2020)

Article Automation & Control Systems

Quantitative Evaluation of Crack Depths on Thin Aluminum Plate Using Eddy Current Pulse-Compression Thermography

Qiuji Yi et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Automation & Control Systems

Multiview Learning for Subsurface Defect Detection in Composite Products: A Challenge on Thermographic Data Analysis

Haibin Wu et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Automation & Control Systems

An Estimation Method of Defect Size From MFL Image Using Visual Transformation Convolutional Neural Network

Senxiang Lu et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Engineering, Electrical & Electronic

An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect

Songling Huang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)

Article Materials Science, Characterization & Testing

Temporal and spatial deep learning network for infrared thermal defect detection

Qin Luo et al.

NDT & E INTERNATIONAL (2019)

Article Materials Science, Characterization & Testing

A Novel Non-destructive Testing Method by Measuring the Change Rate of Magnetic Flux Leakage

Wu Dehui et al.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2017)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Instruments & Instrumentation

Broken wire detection in coated steel belts using the magnetic flux leakage method

Hua-Ming Lei et al.

INSIGHT (2013)

Article Engineering, Electrical & Electronic

Finite-Element Neural Network-Based Solving 3-D Differential Equations in MFL

Chao Xu et al.

IEEE TRANSACTIONS ON MAGNETICS (2012)

Article Materials Science, Characterization & Testing

Experimental study to differentiate between top and bottom defects for MFL tank floor inspections

Alicia Romero Ramirez et al.

NDT & E INTERNATIONAL (2009)

Article Engineering, Electrical & Electronic

Crack shape reconstruction in eddy current testing using machine learning systems for regression

Andrea Bernieri et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2008)

Article Materials Science, Characterization & Testing

Numerical simulation on magnetic flux leakage evaluation at high speed

Yong Li et al.

NDT & E INTERNATIONAL (2006)

Article Computer Science, Artificial Intelligence

A fast learning algorithm for deep belief nets

Geoffrey E. Hinton et al.

NEURAL COMPUTATION (2006)

Article Physics, Applied

Neural network-based inversion algorithms in magnetic flux leakage nondestructive evaluation

P Ramuhalli et al.

JOURNAL OF APPLIED PHYSICS (2003)