scholarly journals A novel framework for Time Dependent Availability Analysis of Degraded Systems

2019 ◽  
Vol 8 (3) ◽  
pp. 23-26
Keyword(s):  
System Dynamics ◽  
Production Process ◽  
Continuous Production ◽  
Degradation Process ◽  
Time Dependent ◽  
Dynamics Simulation ◽  
Simulation Approach ◽  
Availability Analysis ◽  
Need To Evaluate ◽  
New System

During the continuous production process, the machines and their components will degrade after several cycles of operations. So there is a need to evaluate these systems for their availability with respect to time to predict their multistage degradation process. The solution procedures for the evaluation of availability of modern complex systems adopted earlier in the literature are very complicated and mathematical cumbersome. Simulation approach for availability analysis of systems has been considered in the literature to get realistic solutions. This work is aimed to buildup a new system dynamics simulation for the time dependent availability analysis of a multistage degraded system. In this a three state degraded system with repair is analyzed and validated. It is proved that that this analysis is an substitute method for transient availability analysis.

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.

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