2017
DOI: 10.17531/ein.2017.2.12
|View full text |Cite
|
Sign up to set email alerts
|

Mission reliability modeling and evaluation of multi-mission phased mission system based on an extended object-oriented Petri net

Abstract: Article citation info: Wu X, Wu X. Mission reliability modeling and evaluation of multi-mission phased mission system based on an extended object-oriented Petri net. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2017; 19 (2): 244-253, http://dx.doi.org/10.17531/ein.2017 BDD). Results show that the EOOPN model is suitable to depict the dynamics and to evaluate the reliability of MM-PMS. Keywords: Multi-mission phased mission system, extended object-oriented Petri net, mission reliability, reliabil… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
5
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 16 publications
(30 reference statements)
0
5
0
Order By: Relevance
“…First, few researchers have considered that the interception can be conducted in multiple phases [24]- [30]. Due to technology and specific situation, the interception of a missile may also be made in different phases of the missile projectile.…”
Section: Introductionmentioning
confidence: 99%
“…First, few researchers have considered that the interception can be conducted in multiple phases [24]- [30]. Due to technology and specific situation, the interception of a missile may also be made in different phases of the missile projectile.…”
Section: Introductionmentioning
confidence: 99%
“…A truncation method based on the binary-decisiondiagram (BDD) and Markov chains is proposed to solve the scaling issue. Considering multi-mission PMS with repairable components, and repairable PMS with common cause failures, Wu [20][21] proposed an extended object-oriented Petri net (EOOPN) model for mission reliability simulation. In Li et.…”
Section: Introductionmentioning
confidence: 99%
“…Simulation methods are very versatile for system representation, but the calculations can be extensive, and only an approximate system reliability result can be obtained [1], [4], [5]. Analytical models increase the flexibility of system representation and provide applicable solutions; such models can be further classified into three types: combinatorial methods [1], [6]- [10], state-space-oriented methods based on Markov chains or Petri nets [6], [7], [9]- [16], and hybrid methods that integrate combinatorial and state-space-oriented methods as appropriate [17], [18]. In [11], [13], [15], the Markov model was proposed; [12] used the hierarchical method; [14] used the Markov and Petri net models; and [16] proposed an extended object-oriented Petri net (EOOPN) model to analyze a PMS.…”
Section: Introductionmentioning
confidence: 99%