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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
J.E. Ramirez-Marquez, D.W. Coit
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Optimization of multi-state elements replacement policy for multi-state systems
2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS), 2010In this paper, we generalize a multi-state element (MSE) replacement optimization problem to multi-state systems (MSS), in which a global optimal MSE replacement policy is obtained to achieve better outcome than local optimal MSE replacement strategy which does not consider the system performance rate dependency.
Yu Liu, Hong-Zhong Huang
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2009
The number of Boltzmann factors in the partition function increases with increasing energy states. The higher energy states might have small Boltzmann factors but are included for completeness. This leads to infinite sums that can sometimes be reduced to a simple partition function to calculate average energy, entropy, and free energy.
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The number of Boltzmann factors in the partition function increases with increasing energy states. The higher energy states might have small Boltzmann factors but are included for completeness. This leads to infinite sums that can sometimes be reduced to a simple partition function to calculate average energy, entropy, and free energy.
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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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Reliability evaluation of multi-state systems
2009 8th International Conference on Reliability, Maintainability and Safety, 2009This paper provides a method for estimating the system state distribution for any multi-state consecutive k-out-of-n:F system including the increasing multi-state F system, the decreasing multi-state F system, and other F system. In the multi-state consecutive k-out-of-n: F system, both the system and its components may be in one of M+1 possible states:
Yueqin Wu, Zhanyong Ren, Zhaoyang Zeng
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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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Reliability analysis of multi-state complex system with multi-state weighted subsystems
International Journal of Quality & Reliability Management, 2019Purpose The purpose of this paper is to evaluate the reliability indices such as reliability, mean time to failure and sensitivity analysis. Design/methodology/approach A non-repairable multi-state complex system with two subsystems, namely, S1 and S2, is studied.
K. Meenkashi, S.B. Singh, Akshay Kumar
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Dynamic reliability indices for multi-state system
33rd International Symposium on Multiple-Valued Logic, 2003. Proceedings., 2003The Multi-State System reliability is investigated in this paper. The new class of Reliability Indices is obtained. We have called these indices as Dynamic Reliability Indices. These indices estimate influence upon the Multi-State System reliability by the capacity levels of a system component.
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Linear multi-state sliding-window systems
IEEE Transactions on Reliability, 2003This paper proposes a new model that generalizes the consecutive k-out-of-r-from-n:F system to the multi-state case. In this model (linear multi-state sliding window system), the system consists of n linearly ordered multi-state elements. Each element can have various states: from complete-failure up to perfect-functioning.
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Multi-state Signatures for Multi-state Systems with Binary/Multi-state Components
2023He Yi, Narayanaswamy Balakrishnan
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