Title :
The combined use of the evidence theory and fuzzy logic for improving multimodal nondestructive testing systems
Author :
Kaftandjian, Valérie ; Zhu, Yue Min ; Dupuis, Olivier ; Babot, Daniel
Author_Institution :
Lab. for Nondestructive Testing by Ionizing Radiat.s, Nat. Inst. for Appl. Sci., Villeurbanne, France
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. The results show that the fusion improves significantly the reliability of defect detection and the defect sizing.
Keywords :
X-ray imaging; fuzzy logic; nondestructive testing; sensor fusion; ultrasonic materials testing; welding; X-ray imaging; data fusion; defect detection; defect sizing; evidence theory; fuzzy logic; fuzzy sets; mass function; multimodal nondestructive testing; ultrasonic testing; weld inspection; Fuzzy logic; Humans; Inspection; Laboratories; Logic testing; Nondestructive testing; Object detection; Radiography; Welding; X-ray imaging; Data fusion; X-ray imaging; evidence theory; fuzzy logic; nondestructive testing; ultrasonic testing; weld inspection;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2005.854255