Name
Title | ||
|---|---|---|
An Estimation Method of Defect Size From MFL Image Using Visual Transformation Convolutional Neural Network. |
Abstract | ||
|---|---|---|
In most current nondestructive testing systems, a magnetic flux leakage (MFL) method is widely used in various industry fields, where the structural integrity of specimens is of vital importance. The estimation of defect size in specimen from the MFL measurements is a key and difficult problem. The traditional methods have low precision because feature extraction procedure relies on prior knowledg... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TII.2018.2828811 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Feature extraction,Estimation,Visualization,Magnetic resonance imaging,Size measurement,Training,Numerical models | Magnetic flux leakage,Pattern recognition,Computer science,Convolutional neural network,Visualization,Nondestructive testing,Real-time computing,Robustness (computer science),Feature extraction,Artificial intelligence,Deep learning,Big data | Journal |
Volume | Issue | ISSN |
15 | 1 | 1551-3203 |
Citations | PageRank | References |
2 | 0.46 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Senxiang Lu | 1 | 2 | 0.46 |
| Jian Feng | 2 | 3 | 1.49 |
| huaguang zhang | 3 | 505 | 39.89 |
| Jinhai Liu | 4 | 13 | 5.08 |
| Zhenning Wu | 5 | 28 | 1.61 |