Reliability of demand-based phased-mission systems subject to fault level coverage

In many real-world applications, a mission may consist of several different tasks or phases that have to be accomplished in sequence. Such systems are referred to as phased-mission systems (PMS). In this paper we consider the demand-based PMS with parallel structure, where the system components func...

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Published inReliability engineering & system safety Vol. 121; pp. 18 - 25
Main Authors Peng, Rui, Zhai, Qingqing, Xing, Liudong, Yang, Jun
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.01.2014
Elsevier
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Abstract In many real-world applications, a mission may consist of several different tasks or phases that have to be accomplished in sequence. Such systems are referred to as phased-mission systems (PMS). In this paper we consider the demand-based PMS with parallel structure, where the system components function in parallel with different capacities in each phase of the mission and the mission is successful if and only if the total system capacity meets the predetermined mission demand in each phase. The reliability of the demand-based PMS (DB-PMS) with parallel structure subject to fault-level coverage (FLC) is first studied using a multi-valued decision diagram (MDD) based technique. The traditional MDD is modified to accommodate the FLC mechanism and new MDD construction and evaluation procedures are proposed for DB-PMS. To reduce the size of the MDD, an alternative construction procedure applying the branching truncation method and new reduction rules are further proposed. An upwards algorithm is put forward to evaluate the reliability of DB-PMS subject to FLC. The proposed approaches are illustrated through examples. •Reliability of phased-mission systems subjected to fault level coverage is studied.•System demand and component stress change from phase to phase.•A combinatorial method based on multi-valued decision diagrams is proposed.
AbstractList In many real-world applications, a mission may consist of several different tasks or phases that have to be accomplished in sequence. Such systems are referred to as phased-mission systems (PMS). In this paper we consider the demand-based PMS with parallel structure, where the system components function in parallel with different capacities in each phase of the mission and the mission is successful if and only if the total system capacity meets the predetermined mission demand in each phase. The reliability of the demand-based PMS (DB-PMS) with parallel structure subject to fault-level coverage (FLC) is first studied using a multi-valued decision diagram (MDD) based technique. The traditional MDD is modified to accommodate the FLC mechanism and new MDD construction and evaluation procedures are proposed for DB-PMS. To reduce the size of the MDD, an alternative construction procedure applying the branching truncation method and new reduction rules are further proposed. An upwards algorithm is put forward to evaluate the reliability of DB-PMS subject to FLC. The proposed approaches are illustrated through examples. •Reliability of phased-mission systems subjected to fault level coverage is studied.•System demand and component stress change from phase to phase.•A combinatorial method based on multi-valued decision diagrams is proposed.
In many real-world applications, a mission may consist of several different tasks or phases that have to be accomplished in sequence. Such systems are referred to as phased-mission systems (PMS). In this paper we consider the demand-based PMS with parallel structure, where the system components function in parallel with different capacities in each phase of the mission and the mission is successful if and only if the total system capacity meets the predetermined mission demand in each phase. The reliability of the demand-based PMS (DB-PMS) with parallel structure subject to fault-level coverage (FLC) is first studied using a multi-valued decision diagram (MDD) based technique. The traditional MDD is modified to accommodate the FLC mechanism and new MDD construction and evaluation procedures are proposed for DB-PMS. To reduce the size of the MDD, an alternative construction procedure applying the branching truncation method and new reduction rules are further proposed. An upwards algorithm is put forward to evaluate the reliability of DB-PMS subject to FLC. The proposed approaches are illustrated through examples.
Author Peng, Rui
Xing, Liudong
Zhai, Qingqing
Yang, Jun
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  surname: Peng
  fullname: Peng, Rui
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  givenname: Qingqing
  surname: Zhai
  fullname: Zhai, Qingqing
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  givenname: Liudong
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  organization: University of Massachusetts, Dartmouth, MA, USA
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  givenname: Jun
  surname: Yang
  fullname: Yang, Jun
  organization: School of Reliability and Systems Engineering, Beihang University, Beijing, China
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Keywords Multi-valued decision diagram
Reliability evaluation
Phased-mission system
Fault level coverage
Mission demand
Branching
Dependability
Multivalued logic
Coverage
Distributed system
Decision tree
Truncation
Multiphase system
Fault tolerance
Multi-valued decision diagrams
Reduction method
Parallel system
Reliability
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Snippet In many real-world applications, a mission may consist of several different tasks or phases that have to be accomplished in sequence. Such systems are referred...
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SubjectTerms Algorithmics. Computability. Computer arithmetics
Algorithms
Applied sciences
Computer science; control theory; systems
Construction
Decision theory. Utility theory
Exact sciences and technology
Fault level coverage
Faults
Mission demand
Missions
Multi-valued decision diagram
Operational research and scientific management
Operational research. Management science
Phased-mission system
Phases
Reliability engineering
Reliability evaluation
Reliability theory. Replacement problems
Risk theory. Actuarial science
Safety
Tasks
Theoretical computing
Title Reliability of demand-based phased-mission systems subject to fault level coverage
URI https://dx.doi.org/10.1016/j.ress.2013.07.013
https://www.proquest.com/docview/1475543424
https://www.proquest.com/docview/1516739844
Volume 121
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