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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/12255
Title: Reliability analysis of complex multi-robotic system using GA and fuzzy methodology
Authors: Sharma S.P.
Kumar D.
Kumar A.
Published in: Applied Soft Computing Journal
Abstract: The objective of the study is to compute various reliability parameters for multi-robotic system, using Real Coded Genetic Algorithms (RCGAs) and Fuzzy Lambda-Tau Methodology (FLTM). The paper contains a new idea about the reliability analysis of robotic system. The optimal values of mean time between failures (MTBF) and mean time to repair (MTTR) are obtained using GAs. Petri Net (PN) tool is applied to represent the interactions among the working components of multi-robotic system. To enhance the relevance of the reliability study, triangular fuzzy numbers (TFNs) are developed from the computed data, using possibility theory. The use of fuzzy arithmetic in the PN model increases the flexibility for application to various systems and conditions. Various reliability parameters, namely failure rate, repair time, MTBF, expected number of failures (ENOF), reliability and availability, are computed using FLTM. Sensitivity analysis has also been performed and the effects on system MTBF 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. The analysis presented, may be helpful for the system analyst to analyze and predict the system behavior and to reallocate the required resources. © 2011 Elsevier B.V. All rights reserved.
Citation: Applied Soft Computing Journal (2012), 12(1): 405-415
URI: https://doi.org/10.1016/j.asoc.2011.08.031
http://repository.iitr.ac.in/handle/123456789/12255
Issue Date: 2012
Keywords: Genetic algorithms
Linguistic variables
MTBF
Optimization
Petri Nets
Reliability
ISSN: 15684946
Author Scopus IDs: 55925197900
57202478211
57198891596
Author Affiliations: Sharma, S.P., Department of Mathematics, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India
Kumar, D., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India
Kumar, A., ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior 474010, Madhya Pradesh, India
Corresponding Author: Kumar, A.; ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior 474010, Madhya Pradesh, India; email: ajay1dma@gmail.com
Appears in Collections:Journal Publications [ME]

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