Reliability analysis of waste clean-up manipulator using genetic algorithms and fuzzy methodology

Authors:
Naveen Kumar;Jin-Hwan Borm;Ajay Kumar
Affiliations:
Division of Mechanical Engineering, Ajou University, Suwon 443749, South Korea;Division of Mechanical Engineering, Ajou University, Suwon 443749, South Korea;ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior 474010, Madhya Pradesh, India
Venue:
Computers and Operations Research
Year:
2012

Citing 6
Cited 0

Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach

Computers and Operations Research - Special issue: artificial intelligence, evolutionary programming and operations research
Optimal design problem of system reliability with interval coefficient using improved genetic algorithms

Computers and Industrial Engineering
Multi-level redundancy optimization in series systems

Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
An efficient heuristic for series-parallel redundant reliability problems

Computers and Operations Research
A knowledge management system for series-parallel availability optimization and design

Expert Systems with Applications: An International Journal
Multi-objective reliability optimization for dissimilar-unit cold-standby systems using a genetic algorithm

Computers and Operations Research

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, the reliability analysis of waste clean-up manipulator has been performed using Real Coded Genetic Algorithms and Fuzzy Lambda Tau Methodology. The optimal values of mean time between failures and mean time to repair are obtained using genetic algorithms. Petri Net tool is applied to represent the interactions among the working components of the system. To enhance the relevance of the reliability study, triangular fuzzy numbers are developed from the computed data, using possibility theory. The use of fuzzy arithmetic in the Petri Net model increases the flexibility for application to various systems and conditions. Various reliability parameters (failure rate, repair time, mean time between failures, expected no. of failures, reliability and availability) are computed using Fuzzy Lambda Tau Methodology. Sensitivity analysis has also been performed and the effects on system mean time between failures are addressed. The adopted methodology improves the shortcomings/drawbacks of the existing probabilistic approaches and gives a better understanding of the system behavior through its graphical representation.