Classification of weld defect based on information fusion technology for radiographic testing system

2016 ◽  
Vol 87 (3) ◽  
pp. 035110 ◽  
Author(s):  
Hongquan Jiang ◽  
Zeming Liang ◽  
Jianmin Gao ◽  
Changying Dang
Keyword(s):  
Information Fusion ◽  
Testing System ◽  
Fusion Technology ◽  
Radiographic Testing ◽  
Weld Defect

Fault Classification of Hydroelectric Generating Unit Based on Improved Evidence Theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fault Classification ◽  
Fusion Method ◽  
Inconsistent Result ◽  
High Conflict

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

scholarly journals Transfer Learning with CNN for Classification of Weld Defect

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Samuel Kumaresan ◽  
K. S. Jai Aultrin ◽  
S. S. Kumar ◽  
M. Dev Anand
Keyword(s):  
Transfer Learning ◽  
Weld Defect

Classification of raw cow milk using information fusion framework

2021 ◽  
Author(s):  
Olcay Polat ◽  
Seda Gökçe Akçok ◽  
Mehmet Anıl Akbay ◽  
Duygu Topaloğlu ◽  
Seher Arslan ◽  
...  
Keyword(s):  
Information Fusion ◽  
Cow Milk ◽  
Fusion Framework

Application of Integrated Neural Network Information Fusion in Fault Diagnosis of one Missile Launching Control Unit

2013 ◽  
Vol 427-429 ◽  
pp. 2808-2812
Author(s):  
Xu De Cheng ◽  
Hong Li Wang ◽  
Bing Xu ◽  
Xue Dong Xue
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Information Fusion ◽  
Preliminary Analysis ◽  
Control Unit ◽  
Fusion Technology ◽  
Network Information ◽  
Diagnosis Rate ◽  
Fault Diagnosis System ◽  
Made In

Research and development of fault diagnosis system in application of integrated neural network information fusion is based on information fusion technology, with which preliminary analysis of equipment fault is made in different perspectives in terms of neural network, so as to identify the fault on the basis of fusion outcome. This technique is applied in fault diagnosis of one type of missile launching control unit, leading to sufficient use of various information and substantially increased fault diagnosis rate.

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