Repairable consecutive-k-out-of-n: F system with fuzzy states

Authors:
Jiancheng Guan;Yueqin Wu
Affiliations:
School of Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, PR China;School of Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, PR China
Venue:
Fuzzy Sets and Systems
Year:
2006

Citing 6
Cited 1

Fuzzy variables as a basis for a theory of fuzzy reliability in the possibility context

Fuzzy Sets and Systems
System failure engineering and fuzzy methodology: an introductory overview

Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
A general formal approach for fuzzy reliability analysis in the possibility context

Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
Introduction to Fuzzy Reliability

Introduction to Fuzzy Reliability
A Combinatorial Algorithm for Performance and Reliability Analysis Using Multistate Models

IEEE Transactions on Computers
On Evaluating the Performability of Degradable Computing Systems

IEEE Transactions on Computers

Fuzzy universal generating functions for multi-state system reliability assessment

Fuzzy Sets and Systems

Quantified Score

Hi-index	0.20

Visualization

Abstract

In this paper, we study a repairable consecutive-k-out-of-n:F system with fuzzy states. The maintenance of the system is carried out by r repairmen or repair facilities. The system is either circular or linear. It is assumed that the working time and the repair time of each component in the system are both exponentially distributed and every component after repair is as same as new. Each component is classified as either a key component or an ordinary one according to its priority role to the system's repair. When the system displays a gradual degradation of its performance, its reliability is then analyzed in terms of fuzzy failure and success states. The difference between fuzzy reliability theory and the conventional reliability theory is highlighted.