Name
Title | ||
|---|---|---|
Anomaly detection of defects on concrete structures with the convolutional autoencoder. |
Abstract | ||
|---|---|---|
•Deep learning model is applied for the anomaly detection of concrete defects.•The model training is in the unsupervised mode, with no label needed.•This anomaly detection technique is adaptable to defects on wide ranges of scales.•The technique outperforms classical automatic methods in concrete defect detection.•Anomaly scores of the anomaly map alert inspectors for any potential defects. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.aei.2020.101105 | Advanced Engineering Informatics |
Keywords | DocType | Volume |
Anomaly detection,Unsupervised learning,Convolutional autoencoder,Concrete structure,Cracking,Spalling | Journal | 45 |
ISSN | Citations | PageRank |
1474-0346 | 5 | 0.60 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Kang Chow | 1 | 5 | 0.94 |
| Z. Su | 2 | 5 | 0.60 |
| Junjie Wu | 3 | 551 | 47.60 |
| Pin Siang Tan | 4 | 5 | 0.60 |
| X. Mao | 5 | 5 | 0.60 |
| Y. H. Wang | 6 | 5 | 0.60 |