Automation of Functional Reliability Evaluation for Critical Human-Machine Control Systems

Author(s):  
E. A. Lavrov ◽  
P. I. Paderno ◽  
A. A. Volosiuk ◽  
N. B. Pasko ◽  
V. I. Kyzenko
1999 ◽  
Vol 146 (6) ◽  
pp. 626 ◽  
Author(s):  
L.R. Castro Ferreira ◽  
P.A. Crossley ◽  
J. Goody ◽  
R.N. Allan

Author(s):  
Georgi M. Martinov ◽  
Sergey V. Sokolov ◽  
Lilija I. Martinova ◽  
Anton S. Grigoryev ◽  
Petr A. Nikishechkin

Author(s):  
David H. Myszka

The demand for faster operation, higher quality output and increased efficiency in automation and machine control systems has led to increased demands on guidance systems. Innovation of re-circulating, linear bearing guide technology has launched that option as the preferred choice for most precision linear motion stages. As the use of re-circulating linear guides increases, many vendors have entered the market, producing nearly identical products. All vendors promote similar load capabilities, running speeds and accuracies. A machine designer has difficulty in selecting a specific brand. An extensive study was conducted to evaluate the running accuracy of several commercially available, re-circulating bearings and configurations. This paper will describe the results of the study and explain the reasons for various inaccuracies. These results will help understand the subtle details of the different styles.


Author(s):  
Hongbin LI ◽  
Qing Zhao ◽  
Zhenyu Yang

Reliability Modeling of Fault Tolerant Control SystemsThis paper proposes a novel approach to reliability evaluation for active Fault Tolerant Control Systems (FTCSs). By introducing a reliability index based on the control performance and hard deadline, a semi-Markov process model is proposed to describe system operation for reliability evaluation. The degraded performance of FTCSs in the presence of imperfect Fault Detection and Isolation (FDI) is reflected by semi-Markov states. The semi-Markov kernel, the key parameter of the process, is determined by four probabilistic parameters based on the Markovian model of FTCSs. Computed from the transition probabilities of the semi-Markov process, the reliability index incorporates control objectives, hard deadline, and the effects of imperfect FDI, a suitable quantitative measure of the overall performance.


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