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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Fuzzy Multi-state System: General Definition and Reliability Assessment
Erschienen in: Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers
Verlag: Springer London
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In conventional multi-state theory, it is assumed that the exact probability and performance level of each component state are given. However, with the progress in modern industrial technologies, the product development cycle has become shorter and shorter while the lifetime of products has become longer and longer (Huang
et al.
2006). In many highly reliable applications, there may be only a few available observations. Therefore, it is difficult to obtain sufficient data to estimate the precise values of these probabilities and performance levels in these systems. Moreover, inaccuracy in system models that is caused by human error is difficult to deal with solely by means of conventional reliability theory (Huang
et al.
2004). In some cases, in order to reduce the computational burden, a simplified model is used to represent a complex system and a MSS model is used to characterize a continuous-state system, which can reduce the computational accuracy. New techniques and theories are needed to solve these fundamental problems.