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.

Reliability Analysis of Hybrid Actuation Based on GSPN

2012 ◽  
Vol 430-432 ◽  
pp. 1914-1917
Author(s):  
Li Ming Yu ◽  
Shou Qiang Wei ◽  
Tian Tian Xing ◽  
Hong Liang Liu
Keyword(s):  
Petri Nets ◽  
System Reliability ◽  
Operating Mode ◽  
Stochastic Petri Nets ◽  
Hydraulic Actuator ◽  
Reliability Models ◽  
Operating Modes ◽  
Actuation System ◽  
Generalized Stochastic Petri Nets ◽  
Hybrid Actuation

Generalized stochastic Petri nets is adopted to develop the reliability models of two operating modes of the hybrid actuation system, which is composed of a SHA (Servo valve controlled Hydraulic Actuator), an EHA (Electro-Hydrostatic Actuator) and an EBHA (Electrical Back-up Hydrostatic Actuator).The dependability of hybrid actuation is got through the Markov chain which the Petri nets sate is isomorphic to and the Monte-Carlo simulation. Simulations are conducted to analyze influences of the operating mode and the fault coverage on system reliability of hybrid actuation system.

scholarly journals Analysis and Application of Mechanical System Reliability Model Based on Copula Function

2016 ◽  
Vol 23 (s1) ◽  
pp. 187-191 ◽  
Author(s):  
Hai An ◽  
Hang Yin ◽  
Fukai He
Keyword(s):  
Mechanical System ◽  
System Reliability ◽  
Reliability Function ◽  
Copula Function ◽  
Reliability Model ◽  
Reliability Modeling ◽  
Modeling And Analysis ◽  
Copula Theory ◽  
Model Based ◽  
Analysis Process

Abstract There is complicated correlations in mechanical system. By using the advantages of copula function to solve the related issues, this paper proposes the mechanical system reliability model based on copula function. And makes a detailed research for the serial and parallel mechanical system model and gets their reliability function respectively. Finally, the application research is carried out for serial mechanical system reliability model to prove its validity by example. Using Copula theory to make mechanical system reliability modeling and its expectation, studying the distribution of the random variables (marginal distribution) of the mechanical product’ life and associated structure of variables separately, can reduce the difficulty of multivariate probabilistic modeling and analysis to make the modeling and analysis process more clearly.

scholarly journals A Novel System Reliability Modeling of Hardware, Software, and Interactions of Hardware and Software

Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1049 ◽  
Author(s):  
Mengmeng Zhu ◽  
Hoang Pham
Keyword(s):  
System Reliability ◽  
Reliability Estimation ◽  
Reliability Prediction ◽  
Reliability Modeling ◽  
System Failures ◽  
Software Failures ◽  
Reliability Models ◽  
Software Reliability Models ◽  
Accuracy Comparison ◽  
Hardware Failures

In the past few decades, a great number of hardware and software reliability models have been proposed to address hardware failures in hardware subsystems and software failures in software subsystems, respectively. The interactions between hardware and software subsystems are often neglected in order to simplify reliability modeling, and hence, most existing reliability models assumed hardware subsystems and software subsystem are independent of each other. However, this may not be true in reality. In this study, system failures are classified into three categories, which are hardware failures, software failures, and hardware-software interaction failures. The main contribution of our research is that we further classify hardware-software interaction failures into two groups: software-induced hardware failures and hardware-induced software failures. A Markov-based unified system reliability modeling incorporating all three categories of system failures is developed in this research, which provides a novel and practical perspective to define system failures and further improve reliability prediction accuracy. Comparison of system reliability estimation between the reliability models with and without considering hardware-software interactions is elucidated in the numerical example. The impacts on system reliability prediction as the changes of transition parameters are also illustrated by the numerical examples.

scholarly journals Reliability Evaluation of Service-Oriented Architecture Systems Considering Fault-Tolerance Designs

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Kuan-Li Peng ◽  
Chin-Yu Huang
Keyword(s):  
Sensitivity Analysis ◽  
Fault Tolerance ◽  
System Reliability ◽  
Service Oriented Architecture ◽  
Reliability Evaluation ◽  
System Structure ◽  
Reliability Modeling ◽  
Modeling And Analysis ◽  
Fine Grain ◽  
Service Oriented

Service-oriented architecture (SOA) provides an elastic and automatic way to discover, publish, and compose individual services. SOA enables faster integration of existing software components from different parties, makes fault tolerance (FT) feasible, and is also one of the fundamentals of cloud computing. However, the unpredictable nature of SOA systems introduces new challenges for reliability evaluation, while reliability and dependability have become the basic requirements of enterprise systems. This paper proposes an SOA system reliability model which incorporates three common fault-tolerance strategies. Sensitivity analysis of SOA at both coarse and fine grain levels is also studied, which can be used to efficiently identify the critical parts within the system. Two SOA system scenarios based on real industrial practices are studied. Experimental results show that the proposed SOA model can be used to accurately depict the behavior of SOA systems. Additionally, a sensitivity analysis that quantizes the effects of system structure as well as fault tolerance on the overall reliability is also studied. On the whole, the proposed reliability modeling and analysis framework may help the SOA system service provider to evaluate the overall system reliability effectively and also make smarter improvement plans by focusing resources on enhancing reliability-sensitive parts within the system.

Reliability Modeling and Availability Simulating Based on GSPN Considering Hardware, Software and Human Factors

2013 ◽  
Vol 834-836 ◽  
pp. 1932-1937
Author(s):  
Yong Cheng Xu ◽  
Bin Dong ◽  
Yue Li ◽  
Guo Ji Shen ◽  
Ming Lei Luo
Keyword(s):  
Systems Engineering ◽  
Power Transmission ◽  
Structural Characteristics ◽  
Calculation Model ◽  
Stochastic Petri Nets ◽  
Transmission Systems ◽  
Reliability Modeling ◽  
Dynamic Reliability ◽  
Reliability Models ◽  
Power Transmission Systems

Aiming at the functional and structural characteristics of helicopter power transmission systems, this paper researches on the dynamic reliability modeling and simulating methods of complex mechanical systems. The hardware reliability, the human reliability and the software reliability related to helicopter power transmission systems are analyzed in this paper from the view point of systems engineering; the General Stochastic Petri Nets (GSPN) reliability models are established and the availability is simulated. According to the logistic connection among the attributions of the systems availability, two conceptions are presented: degree of facilitation and a new availability calculation model. Results show that the calculational value is very close to the simulating value. The new model based on facilitation is proved to be correct. The paper contributes to provide an effective reliability analyzing method and theoretical basis for complex mechanical system.

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