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Analysis of Multi-state Systems with Multi-state Components Using EVMDDs
2012 IEEE 42nd International Symposium on Multiple-Valued Logic, 2012This paper proposes a new analysis method of multi-state systems with multi-state components using multi-valued decision diagrams (MDDs). The multi-state systems with multi-state components can be considered as multi-valued functions, called structure functions.
Nagayama, Shinobu +2 more
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IEEE Transactions on Reliability, 2004
In this paper, we propose a definition of the dominant multi-state system. Under the proposed definition, multi-state systems are divided into two groups without reference to component relevancy conditions: dominant systems, and nondominant systems. Dominant systems can be further divided into two groups: with binary image, and without binary image.
Jinsheng Huang, Ming Jian Zuo
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In this paper, we propose a definition of the dominant multi-state system. Under the proposed definition, multi-state systems are divided into two groups without reference to component relevancy conditions: dominant systems, and nondominant systems. Dominant systems can be further divided into two groups: with binary image, and without binary image.
Jinsheng Huang, Ming Jian Zuo
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Importance Measures of Multi-State Components in Multi-State Systems
International Journal of Reliability, Quality and Safety Engineering, 2003In system engineering a practical and difficult problem is the identification of those components that mostly influence the system behaviour with respect to safety and reliability. In this regard, the information provided by importance measures gives useful insights for the safe and efficient operation of the system. Importance measures have received
PODOFILLINI, LUCA, ZIO, ENRICO
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Coherent Systems with Multi-State Components
Mathematics of Operations Research, 1978The theory of binary coherent systems is generalized for multi-state components. The system state is defined to be the state of the “worst” component in the “best” min path, or equivalently, the state of the “best” component in the “worst” min cut.
Richard E. Barlow, Alexander S. Wu
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Composite Importance Measures for Multi-State Systems with Multi-State Components
IEEE Transactions on Reliability, 2005This paper presents & evaluates composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are important tools to evaluate & rank the impact of individual components within a system. For multi-state systems, previously developed measures do not meet all user needs. The major focus of the study is
Jose Emmanuel Ramirez-Marquez +1 more
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Semi-Markov Modelling for Multi-state Systems
2014 Ninth International Conference on Availability, Reliability and Security, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barbu, Vlad Stefan +5 more
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Multi-state component criticality analysis for reliability improvement in multi-state systems
Reliability Engineering & System Safety, 2007This paper evaluates and implements composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are frequently used as a means to evaluate and rank the impact and criticality of individual components within a system yet they are less often used as a guide to prioritize system reliability ...
Jose Emmanuel Ramirez-Marquez +1 more
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Multi-state balanced systems in a shock environment
Reliability Engineering & System Safety, 2020Abstract Reliability analysis of balanced systems has become an important research topic. In previous studies, a balanced system only has two states, i.e., perfect functioning and complete failure. However, most practical systems have more than two states because of the complex system structure and complicated working environment.
Xian Zhao +3 more
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Modeling and Inference for Multi-state Systems
2017In this work we are focused on multi-state systems modeled by means of a special type of semi-Markov processes. The sojourn times are seen to be independent not necessarily identically distributed random variables and assumed to belong to a general class of distributions closed under extrema that includes, in addition to some discrete distributions ...
Barbu, Vlad Stefan +3 more
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On Dependent Multi-State Semi-Coherent Systems Based on Multi-State Joint Signature
Methodology and Computing in Applied Probability, 2021Informally, a `system' consists of several `components' which are connected in some fashion; the system works or fails depending on the working or failure of its components. Usually, one assumes that the lifetimes (till failure) of the system's components are i.i.d. (with a continuous distribution).
He Yi +2 more
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