Soft computing approaches in reliability modeling and analysis of repairable systems

2010 ◽  
Author(s):  
Marcia F. P. Salgado ◽  
Walmir M. Caminhas ◽  
Benjamim R. Menezes
Keyword(s):  
Soft Computing ◽  
Repairable Systems ◽  
Reliability Modeling ◽  
Modeling And 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.

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

Modeling and Analysis of Surface Roughness with Statistical and Soft Computing Approach

2021 ◽  
Vol 106 ◽  
pp. 109-115
Author(s):  
L.B. Abhang ◽  
M. Hameedullah
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Prediction Models ◽  
Tool Geometry ◽  
Modeling And Analysis ◽  
Empirical Prediction ◽  
Lathe Machine ◽  
Carbide Inserts ◽  
Computing Approach

The objective of this study focuses on developing empirical prediction models using response regression analysis and fuzzy-logic. These models latter can be used to predict surface roughness according to technological variables. The values of surface roughness produced by these models are compared with experimental results. Experimental investigation has been carried out by using scientific composite factorial design on precision lathe machine with tungsten carbide inserts. Surface roughness measured at end of each experimental trial (three times), to get the effect of machining conditions and tool geometry on the surface finish values. Research showed that soft computing fuzzy logic model developed produces smaller error and has satisfactory results as compared to response regression model during machining.

Belief Reliability Modeling and Analysis for the Three-Grid Ion Thruster

2021 ◽  
Author(s):  
Shi-Shun Chen ◽  
Xiao-Yang Li ◽  
Bo-Yuan Li ◽  
Jing Li
Keyword(s):  
Reliability Modeling ◽  
Ion Thruster ◽  
Modeling And Analysis
Sign in / Sign up

Export Citation Format

Share Document