Soft error modeling and simulation

2020 ◽  
pp. 175-216
Keyword(s):  
Modeling And Simulation ◽  
Error Modeling ◽  
Soft Error

Contouring error modeling and simulation of a four-axis motion control system

2015 ◽  
Vol 22 (1) ◽  
pp. 141-149 ◽  
Author(s):  
Dai-lin Zhang ◽  
Xu Zhang ◽  
Jing-ming Xie ◽  
Chu-ming Yuan ◽  
You-ping Chen ◽  
...  
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Motion Control ◽  
Error Modeling ◽  
Motion Control System ◽  
Contouring Error

Soft error modeling and remediation techniques in ASIC designs

2010 ◽  
Vol 41 (8) ◽  
pp. 506-522 ◽  
Author(s):  
Hossein Asadi ◽  
Mehdi B. Tahoori
Keyword(s):  
Error Modeling ◽  
Soft Error

Architectural-Level Soft-Error Modeling for Estimating Reliability of Computer Systems

2007 ◽  
Vol E90-C (10) ◽  
pp. 1983-1991 ◽  
Author(s):  
M. SUGIHARA ◽  
T. ISHIHARA ◽  
K. MURAKAMI
Keyword(s):  
Computer Systems ◽  
Error Modeling ◽  
Soft Error

Research on Thermal Error Modeling and Simulation Technique of CNC Based on Stepped Approximation Method

2011 ◽  
Vol 189-193 ◽  
pp. 2238-2241
Author(s):  
Liang Ju Tian ◽  
Yan Qun Huang ◽  
Ming Liu
Keyword(s):  
Regression Analysis ◽  
Modeling And Simulation ◽  
Approximation Method ◽  
Thermal Error ◽  
High Accuracy ◽  
Sampling Time ◽  
Error Modeling ◽  
Thermal Error Modeling ◽  
Multivariable Regression ◽  
Thermal Error Model

On the basis of thermal error experiment in CNC, the paper reaches a conclusion that at different sampling time, the thermal error model is different from each other. Therefore, this paper proposes a Stepped Approximation Modeling(SAM) Method on thermal error by improving the Multivariable Regression Analysis Modeling Method. The model examples are calculated and compared with presented experiments data. The results show that the SAM has a high accuracy in the thermal error modeling of CNC.

Sign in / Sign up

Export Citation Format

Share Document