SPN Based Reliability Analysis in the Process Industry

Shi Yi Bao; Wei Ping Wang; Jian Xin Zhu; Zeng Liang Gao

doi:10.4028/www.scientific.net/AMR.118-120.561

Paper Titles

Grey Model Based Particle Swarm Optimization Algorithm for Anticorrosion Reliability Design of Underground Pipelines
p.541

Kinematic Reliability and Sensitivity Analysis of Delta Parallel Mechanism
p.546

Research Progress on Fracture Mechanism of Mechanical Products
p.551

Study on the Control System of an Automatic Testing Equipment for Diffusion Vacuum Pumps by Fault Tree Analysis
p.556

SPN Based Reliability Analysis in the Process Industry
p.561

The Development of Reliability Modeling and Analysis Tool Based on Stochastic Petri Nets
p.566

Research of Accelerated Reliability Test on Server
p.571

Research on the Six-Dimension Knowledge Classification System and Model for Modern Product Design
p.576

Diffuse Response Surface Methodology to Reliable Optimization of Numerical Control Milling
p.581

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 118-120SPN Based Reliability Analysis in the Process...

SPN Based Reliability Analysis in the Process Industry

Abstract:

This paper proposes a new reliability modeling and analysis approach based on Stochastic Petri Nets by employing the logical relations in the RBD to cope with the inadequacy in various quantitative reliability analysis techniques, such as Reliability Block Diagram (RBD) and Markov analysis of control system in process industry. In this paper, the proposed new approach is elaborated and its feasibility and effectiveness is illustrated in a study case. As the results show, the proposed approach is demonstrated more straightforward and visual than Markov method. This research also bears significance in its application in the reliability analysis of general system in process industry.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 118-120)

Pages:

561-565

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.118-120.561

Citation:

Cite this paper

Online since:

June 2010

Authors:

Shi Yi Bao, Wei Ping Wang, Jian Xin Zhu, Zeng Liang Gao

Keywords:

Control System, Process Industry, Reliability Analysis, Reliability Block Diagram, Stochastic Petri Nets

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] J.L. Rouvroye, E.G. van den. Bliek: Reliab. Eng. Syst. Safety, Vol. 75 (2002), p.289.

Google Scholar

[2] J.L. Rouvroye, A. Brombacher: Reliab. Eng. Syst. Safety, Vol. 66 (1999), p.121.

Google Scholar

[3] IEC: IEC 61078-2006 (IEC, Switzerland, 2006).

Google Scholar

[4] W. M. Goble: Control Systems Safety Evaluation and Reliability (ISA, USA 1998).

Google Scholar

[5] W. G. Schneeweiss: Petri Nets for Reliability Modeling (LiLoLe Publishing, Germany 1999).

Google Scholar

[6] P.J. Haas: Stochastic Petri Nets: Modelling, Stability, Simulation. (Springer, USA 2002).

Google Scholar

[7] J.K. Muppala, G. Ciardo, K.S. Trivedi: Communications in Reliability, Maintainability and Serviceability, (1994).

Google Scholar

[8] Lin Chuang: Stochastic Petri nets and Performance evaluation of systems (Tsinghua University Press, China 2000).

Google Scholar

[9] SPNP. http: /people. ee. duke. edu/~kst/software_packages. html.

Google Scholar

[10] IEC: IEC 61025-2006 (IEC, Switzerland, 2006).

Google Scholar

[11] C. Lindemann: Performance Modelling with Deterministic and Stochastic Petri Nets. (John Wiley & Sons, UK 1998) (a) (b) I B1 A B2 C1 C2 O C1 A C2 I B1 A B2 C1 C2 O Fig. 3 Series/parallel arrangement of blocks Fig. 4 the SPN model of RBD in Fig. 3 Fig. 5 Reliability Curves of RBD model and SPN model.

DOI: 10.37307/j.2198-2430.2003.01.07

Google Scholar