Name
Title | ||
|---|---|---|
The combined use of the evidence theory and fuzzy logic for improving multimodal nondestructive testing systems |
Abstract | ||
|---|---|---|
A data fusion approach for improving weld inspection by multimodal nondestructive testing (NDT) is investigated. The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass function in evidence theory, and objects corresponding to X-ray and ultrasonic testing are fused at the level of features. Th... |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TIM.2005.854255 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Fuzzy logic,Nondestructive testing,Inspection,Welding,Object detection,Logic testing,X-ray imaging,Radiography,Humans,Laboratories | Ultrasonic testing,Data mining,Computer vision,Fuzzy logic,Nondestructive testing,Fuzzy set,Sensor fusion,Control engineering,Artificial intelligence,Sizing,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 5 | 0018-9456 |
Citations | PageRank | References |
11 | 0.82 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valérie Kaftandjian | 1 | 33 | 3.73 |
| Yue Min Zhu | 2 | 136 | 15.47 |
| Olivier Dupuis | 3 | 11 | 0.82 |
| Daniel Babot | 4 | 28 | 2.53 |