Research on Reliability Analysis Method of Industrial Control System Based on Markov Process

Cheng Cheng Wang; Xiao Jing Liu; Chun Xi Wang

doi:10.4028/www.scientific.net/AMM.541-542.1513

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 541-542Research on Reliability Analysis Method of...

Research on Reliability Analysis Method of Industrial Control System Based on Markov Process

Abstract:

With the development of industrial control systems manufacture level and reliability technology in recent years, the traditional reliability prediction methods have been unable to meet the needs of product quality. The complicated system have taken the place of traditional simple equipment, maintenance, testing and common-cause failure are becoming new problem before product designers, compared to traditional methods of reliability prediction, the method based on Markov process take maintenance and testing time, common-cause failure factors into consideration, not only make the reliability analysis results more accurate, but also proves that these factors can affect the reliability of product, which can be used as the reference for equipment production engineer to improve products.

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Periodical:

Applied Mechanics and Materials (Volumes 541-542)

Pages:

1513-1517

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.541-542.1513

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Online since:

March 2014

Authors:

Cheng Cheng Wang, Xiao Jing Liu, Chun Xi Wang

Keywords:

Common-Cause Failure, Markov Process, Mean Time to Repair, Test Coverage

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References

[1] Robert W D. Reliability Enhancement Testing (RET) [C]. Proc. Annual Reliability and Maintainability Sym. 1994: 91-98.

Google Scholar

[2] Hobbs G K. HALT and HASS Seminar [C]. Detroit, MI, February 26, (1996).

Google Scholar

[3] Hobbs G K. Accelerated reliability engineering: HALT and HASS. Wiley Series in Quality and Reliability Engineering. [M]. New York：Wiley. (2001).

Google Scholar

[4] Smithson S.A. Shock Response Spectrum Analysis for ESS and STRIFE/HALT Measurement[C]. Proc. 37th Annual Technical Meeting of IES. 1991: 297-303.

Google Scholar

[5] Stephen A. Smithson. Effectiveness and Economics[C]. Proceedings of the IES. 1990: 737-742.

Google Scholar

[6] Nelson W. Accelerated Life Testing-Step-stress Models and Data Analysis [J]. IEEE Trans on Reliability. (R29)2. (1980).

Google Scholar

[7] David Raphe. The HASS Development Process [C]. 2000 Proceeding Annual Reliability and Maintainability Symposium: 389-394.

Google Scholar

[8] Silverman M. HASS Development Methods: Screen Development, change schedule, and re-prove schedule [C]. Proceeding Annual Reliability and Maintainability Symposium. 2000: 245-247.

DOI: 10.1109/rams.2000.816315

Google Scholar

[9] Silverman M. Summary of HALT and HASS Results at an Accelerated Reliability Test Center[C]. Proceeding Annual Reliability and Maintainability Symposium. 1998: 30-36.

DOI: 10.1109/rams.1998.653549

Google Scholar