Eight Years of Continuous Quality Assessment of the International Data Centre (IDC) Reviewed Event Bulletin

2013 ◽  
Vol 103 (1) ◽  
pp. 296-305 ◽  
Author(s):  
Karl Koch
Keyword(s):  
Quality Assessment ◽  
Data Centre ◽  
Continuous Quality ◽  
International Data

Continuous quality assessment of digitally-coded television pictures

1998 ◽  
Vol 145 (2) ◽  
pp. 116 ◽  
Author(s):  
R.P. Aldridge ◽  
D.S. Hands ◽  
D.E. Pearson ◽  
N.K. Lodge
Keyword(s):  
Quality Assessment ◽  
Continuous Quality

scholarly journals The Research-Data-Centre in Research-Data-Centre Approach: A First Step Towards Decentralised International Data Sharing

2012 ◽  
Vol 35 (3) ◽  
pp. 10 ◽  
Author(s):  
Stefam Bender ◽  
Jorg Heining
Keyword(s):  
Data Sharing ◽  
Research Data ◽  
Data Centre ◽  
International Data

The Research-Data-Centre in Research-Data-Centre Approach: A First Step Towards Decentralised International Data Sharing

scholarly journals Continuous quality assessment with inCode

2017 ◽  
Vol 134 ◽  
pp. 19-36 ◽  
Author(s):  
George Ganea ◽  
Ioana Verebi ◽  
Radu Marinescu
Keyword(s):  
Quality Assessment ◽  
Continuous Quality

Infrasonic Signal Detection and Source Location at the Prototype International Data Centre

2002 ◽  
Vol 159 (5) ◽  
pp. 1081-1125 ◽  
Author(s):  
D. J. Brown ◽  
C. N. Katz ◽  
R. Le Bras ◽  
M. P. Flanagan ◽  
J. Wang ◽  
...  
Keyword(s):  
Signal Detection ◽  
Source Location ◽  
Data Centre ◽  
International Data ◽  
Infrasonic Signal

Online Weld Quality Benchmarking and Assurance during the Mass-Production Resistance Spot Welding Process

2012 ◽  
Vol 443-444 ◽  
pp. 872-880 ◽  
Author(s):  
Liang Gong ◽  
Cheng Liang Liu ◽  
Yan Ming Li ◽  
Bing Chu Li
Keyword(s):  
Quality Assessment ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Process ◽  
Bayesian Belief Networks ◽  
Displacement Curve ◽  
Weld Quality ◽  
Probabilistic Forecasting ◽  
Resistance Spot ◽  
Continuous Quality

Nowadays online quality estimation for the resistance spot welding (RSW) has benefited a lot from monitoring the electrode displacement caused by nugget thermal expansion. Based on these emerging monitoring techniques a new approach is proposed to classify the weld quality and assure the quality for mass-produced weld group, which enables the continuous quality improvement concept during the welding process. A causal models are built with the offline trained Bayesian Belief Networks (BBN). It is a weld quality assessment net reveals the dependency of the weld quality on the features displayed by the displacement curve, which can be used for overdesigning the safety welds or as the probabilistic forecasting model for online weld quality assessment. The experimental results show that the proposed approach is valid and feasible to predict the weld quality and assure the overall quality for weld group in real applications.

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