Name
Title | ||
|---|---|---|
Unsupervised Sparse Pattern Diagnostic of Defects With Inductive Thermography Imaging System. |
Abstract | ||
|---|---|---|
This paper proposes an unsupervised method for diagnosing and monitoring defects in inductive thermography imaging system. The proposed method is fully automated and does not require manual selection from the user of the specific thermal frame images for defect diagnosis. The core of the method is a hybrid of physics-based inductive thermal mechanism with signal processing-based pattern extraction... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TII.2015.2492925 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Inductive thermal imaging,Eddy currents,Cameras,Principal component analysis,Temperature measurement,Signal processing algorithms | Signal processing,Thermography,Pattern recognition,Computer science,Extraction algorithm,Real-time computing,Artificial intelligence,Sizing,Machine learning,Principal component analysis,Signal processing algorithms | Journal |
Volume | Issue | ISSN |
12 | 1 | 1551-3203 |
Citations | PageRank | References |
10 | 0.57 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Gao | 1 | 219 | 22.12 |
| W. L. Woo | 2 | 325 | 49.88 |
| Yunze He | 3 | 40 | 8.11 |
| Guiyun Tian | 4 | 60 | 7.09 |