Research of Multi-source Information Sensing Technology in Defect Detection on Automatic Welding

Author(s):  
Dapeng Yang ◽  
Junfeng Han ◽  
Na Lv ◽  
Zhiqiang Feng
2019 ◽  
Vol 66 (12) ◽  
pp. 9641-9650 ◽  
Author(s):  
Paolo Sassi ◽  
Paolo Tripicchio ◽  
Carlo Alberto Avizzano

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 125929-125938 ◽  
Author(s):  
Feng Duan ◽  
Shifan Yin ◽  
Peipei Song ◽  
Wenkai Zhang ◽  
Chi Zhu ◽  
...  

Methodology ◽  
2005 ◽  
Vol 1 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Thorsten Meiser

Abstract. Several models have been proposed for the measurement of cognitive processes in source monitoring. They are specified within the statistical framework of multinomial processing tree models and differ in their assumptions on the storage and retrieval of multidimensional source information. In the present article, a hierarchical relationship is demonstrated between multinomial models for crossed source information ( Meiser & Bröder, 2002 ), for partial source memory ( Dodson, Holland, & Shimamura, 1998 ) and for several sources ( Batchelder, Hu, & Riefer, 1994 ). The hierarchical relationship allows model comparisons and facilitates the specification of identifiability conditions. Conditions for global identifiability are discussed, and model comparisons are illustrated by reanalyses and by a new experiment on the storage and retrieval of multidimensional source information.


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