SPN Based Reliability Analysis in the Process Industry

2010 ◽  
Vol 118-120 ◽  
pp. 561-565
Author(s):  
Shi Yi Bao ◽  
Wei Ping Wang ◽  
Jian Xin Zhu ◽  
Zeng Liang Gao
Keyword(s):  
Reliability Analysis ◽  
Block Diagram ◽  
General System ◽  
Process Industry ◽  
Stochastic Petri Nets ◽  
Markov Analysis ◽  
Reliability Modeling ◽  
New Approach ◽  
Modeling And Analysis ◽  
Markov Method

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.

Reliability Analysis of Spring Operated Pressure Relief Valve

2013 ◽  
Author(s):  
Shiyi Bao ◽  
Zhibin Li ◽  
Lijia Luo ◽  
Zengliang Gao
Keyword(s):  
Reliability Analysis ◽  
Failure Modes ◽  
General System ◽  
Process Industry ◽  
Stochastic Petri Nets ◽  
Pressure Relief Valve ◽  
Operating Characteristics ◽  
Relief Valve ◽  
Pressure Relief ◽  
Process Industries

Pressure relief valve (PRV) is an important automatic overpressure protection system in the process industry. Because of the operating characteristics, the performance of PRV is supposed to be proved by the proof test. However, it’s difficult to determine the proof test intervals and the availability of the PRV between two proof tests. Based on stochastic Petri nets (SPN), the reliability modeling and analysis procedure of spring operated full lift pressure relief valve which is the most widely used PRV is depicted in this paper. Firstly, the FMECA method is used to analyze the causes and effects of the typical six failure modes of the PRV, such as vibration, leakage, frequency hopping, unable to open, open before the settings and the low back seat pressure. Second, the corresponding fault tree (FT) models of the PRV are built through the multi-component failure analysis. Third, the SPN models of the PRV are established by employing the logical relations in the FT models. Based on the collected failure data of the PRVs, the steady state and transient reliability index are calculated by Monte Carlo simulation based on the SPN software SPN@. Last, the idea about PRV reliability data collection in domestic process industries is proposed. The result of the reliability analysis can provide the basis for determination the proof test intervals of the PRV, and the proposed procedure also bears significance in its application in the reliability analysis of general system in process industry.

A Markov System Dynamics Approach for Repairable Systems Reliability Modeling

2016 ◽  
Vol 23 (01) ◽  
pp. 1650004 ◽  
Author(s):  
Meesala Srinivasa Rao ◽  
V. N. A. Naikan
Keyword(s):  
System Dynamics ◽  
Hybrid Approach ◽  
Analytical Techniques ◽  
Dynamics Simulation ◽  
Simulation Approach ◽  
Repairable Systems ◽  
Markov Analysis ◽  
Reliability Modeling ◽  
Modeling And Analysis ◽  
Markov System

The study and analysis of repairable systems is an important topic in reliability. Analytical techniques become very complicated and unrealistic especially for modern complex systems. There have been attempts in the literature to evolve more realistic techniques using simulation approach for reliability analysis of systems. The purpose of this paper is to develop a novel Markov system dynamics (MSD) simulation framework for the reliability modeling and analysis of a repairable system. This paper proposes a hybrid approach called as MSD approach which combines the Markov approach with system dynamics simulation approach for reliability modeling. This approach will have the advantages of both Markov as well as system dynamics methodologies. The proposed framework is illustrated for a repairable two component system. The results of the simulation obtained in this work when compared with that obtained by traditional Markov analysis clearly validate that this novel MSD approach is an alternative approach for reliability modeling and analysis.

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

2010 ◽  
Vol 118-120 ◽  
pp. 566-570
Author(s):  
Wei Ping Wang ◽  
Shi Yi Bao ◽  
Zeng Liang Gao
Keyword(s):  
System Reliability ◽  
General Structure ◽  
Transient State ◽  
Software Tool ◽  
Stochastic Petri Nets ◽  
Analysis Tool ◽  
Unified Framework ◽  
Reliability Modeling ◽  
Modeling And Analysis ◽  
Reliability Models

Given the existing difficulties in conventional reliability models and the limitations of the current SPN software tools in terms of modeling system reliability, a software tool for modeling system reliability based on SPN named RelSPN@zer is developed, describing both the general structure and the underlying numerical methods of the tool. RelSPN@zer provides a unified framework for the modeling and evaluation of SPN running under MATLAB environment and is especially tailed to the system reliability analysis. Many metrics of system reliability can be obtained both under stationary and transient state. An example is given to illustrate the use of this package.

Performance reliability analysis of multi-state degraded system with improved Lz transform

2022 ◽  
pp. 1748006X2110689
Author(s):  
Yubin Zheng ◽  
Jie Song ◽  
Yingzhi Zhang ◽  
Shengdong Hou ◽  
Jun Zheng
Keyword(s):  
Reliability Analysis ◽  
Generating Functions ◽  
Block Diagram ◽  
The State ◽  
Performance Parameters ◽  
Reliability Modeling ◽  
Random Combination

Universal Generating Functions and Lz transformations have been widely used in the reliability modeling of multi-state systems. In order to solve the problem of complex calculations due to the dense random combination of multi-state performance parameters in the Lz transformation, a screening function is defined before the Lz transformation, and the screening function is combined with the performance threshold to screening the state performance parameters in advance, and the process is simplified through the screen matrix and the screen block diagram, effectively reduce the combined dimensions and quantity, improve the efficiency of reliability analysis, and combine with specific examples for application verification.

scholarly journals Reliability Modeling and Evaluation of Electric Vehicle Motor by Using Fault Tree and Extended Stochastic Petri Nets

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bing Wang ◽  
Guangdong Tian ◽  
Yanping Liang ◽  
Tiangang Qiang
Keyword(s):  
Petri Nets ◽  
Reliability Analysis ◽  
Electric Vehicle ◽  
Fault Tree ◽  
Stochastic Petri Nets ◽  
Intelligent Algorithm ◽  
Reliability Modeling ◽  
Hybrid Intelligent Algorithm ◽  
Reliability Calculation ◽  
Do So

Performing reliability analysis of electric vehicle motor has an important impact on its safety. To do so, this paper proposes its reliability modeling and evaluation issues of electric vehicle motor by using fault tree (FT) and extended stochastic Petri nets (ESPN). Based on the concepts of FT and ESPN, an FT based ESPN model for reliability analysis is obtained. In addition, the reliability calculation method is introduced and this work designs a hybrid intelligent algorithm integrating stochastic simulation and NN, namely, NN based simulation algorithm, to solve it. Finally, taking an electric vehicle motor as an example, its reliability modeling and evaluation issues are analyzed. The results illustrate the proposed models and the effectiveness of proposed algorithms. Moreover, the results reported in this work could be useful for the designers of electric vehicle motor, particularly, in the process of redesigning the electric vehicle motor and scheduling its reliability growth plan.

scholarly journals Reliability Modeling and Analysis of Reactor Protect System Based on Petri Net

2021 ◽  
Vol 1754 (1) ◽  
pp. 012059
Author(s):  
Dongliang Zhang ◽  
Kaiwen Zhang ◽  
Liufeng Wang ◽  
Qinqin Hong
Keyword(s):  
Petri Net ◽  
Reliability Modeling ◽  
Modeling And Analysis

DEBUGGING PROCESS-ORIENTED DISCRETE SOFTWARE RELIABILITY MODELING

2009 ◽  
Vol 16 (04) ◽  
pp. 357-370 ◽  
Author(s):  
SHINJI INOUE ◽  
NAOKI IWAMOTO ◽  
SHIGERU YAMADA
Keyword(s):  
Discrete Time ◽  
Software Reliability ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Reliability Growth ◽  
Reliability Modeling ◽  
New Approach ◽  
Time Modeling ◽  
Software Reliability Growth ◽  
Discrete Time Modeling

This paper discusses an new approach for discrete-time software reliability growth modeling based on an discrete-time infinite server queueing model, which describes a debugging process in a testing phase. Our approach enables us to develop discrete-time software reliability growth models (SRGMs) which could not be developed under conventional discrete-time modeling approaches. This paper also discuss goodness-of-fit comparisons of our discrete-time SRGMs with conventional continuous-time SRGMs in terms of the criterion of the mean squared errors, and show numerical examples for software reliability analysis of our models by using actual data.

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