Study of Non-Normal Distribution Time Parameters Data Transmission Reliability in CAN Bus

Yu Liu

doi:10.4028/www.scientific.net/AMM.687-691.3247

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Study of Non-Normal Distribution Time Parameters...

Study of Non-Normal Distribution Time Parameters Data Transmission Reliability in CAN Bus

Abstract:

The message transmission reliability is very important for the design of the CAN (Controller Area Network) bus system, which is related to the normal operation of the bus control system. The bus message transmission time parameters are analyzed based on the CAN bus scheduling theory. The formula is a derived by means of probability analysis based on the fourth-moment method. An example is calculated to get its message reliability and the result is contrasted with the MONTE-CARLO method simulation, and then the bus message transmission reliability can be got. It has great practical significance.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3247-3250

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3247

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Cite this paper

Online since:

November 2014

Authors:

Yu Liu*

Keywords:

CAN Bus, Fourth-Moment Method, Monte-Carlo Simulation, Reliability

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* - Corresponding Author

References

[1] Wang Shuju，Zhang Tianxia，Zhang Guosheng， et al． Scheduling design of automotive TTCAN control system based on average loading［C］/ /Proceedings of the World Congress on Intelligent Control and Automation． Piscataway，NJ: IEEE，2010: 6772－6775.

DOI: 10.1109/wcica.2010.5554179

Google Scholar

[2] Li Zheng-jun. Fieldbus Technology and Its Application[M]. Beijing: Machinery Industry Press, (2005).

Google Scholar

[3] Zhu Chun-yang, Guo Qi-yi. State Recognition and Alarming of Fire Network System of Subway Vehicle Devices[J]. Computer Engineering and Design, 2009 30(21): 5026.

Google Scholar

[4] Rao Yun-tao. Principle and Application Technology of CAN Fieldbus[M]. Beijing: Beijing University of Aeronautics and Astronautics Press, (2003).

Google Scholar

[5] Ray A., Halevi Y., Integrated communication and control systems: part I—analysis and part II—design consideration[J]. ASME Journal of Dynamic System Measurement&Control, 1988: 110: 367-381.

DOI: 10.1115/1.3152699

Google Scholar

[6] Qin Gui-he. Network board[M]. Beijing: Machinery Industry Press, (2003).

Google Scholar

[7] Ang A H-S, Tang W H. Probability Concepts in Engineering Planning and Design, Vol. 2, Decision, Risk, and Reliability[M]. New York: John Wiley & Sons, Inc., (1984).

Google Scholar

[8] Cramer H. Mathematical Methods of Statistics[M]. N J: Princeton University Press, (1969).

Google Scholar