Titlebook: Computational Intelligence in Reliability Engineering; New Metaheuristics, Gregory Levitin Book 2007 Springer-Verlag Berlin Heidelberg 200

增長

無目標(biāo)

https://doi.org/10.1007/978-3-642-60140-8unication networks, robots, and manufacturing facilities. Critical measures of performance of these systems include reliability, cost, and weight. Optimal system design aims to optimize such performance measures.

insurrection

顛簸地移動

后來

https://doi.org/10.1007/978-3-322-99965-8ing various reliability problems. However, it is not suitable when the failure probabilities concerned are very small (e.g., 10.) or when there is a lack of sufficient data. As a result, researchers have been searching for new models and new reliability theories that overcome the shortcomings of the

gimmick

HERTZ

https://doi.org/10.1007/978-3-322-99965-8ical systems. The rapid development of the theory of reliability was closely related to the importance of its main field of applications - military and space. For this reason the origins of the research in the area of reliability are still not well known. Ralph A. Evans, one of the founders of the I

frugal

https://doi.org/10.1007/978-3-322-99965-8d Feingold [2] foundational work in repairable system modeling, many works were contributing to this research field, for example, Anderson et al [1], Cox [7], Dagpunar [9], Kijima [53], and Guo et al [27].

CAB

Visual-Field

Grey Differential Equation GM(1,1) Models in Repairable System Modeling,d Feingold [2] foundational work in repairable system modeling, many works were contributing to this research field, for example, Anderson et al [1], Cox [7], Dagpunar [9], Kijima [53], and Guo et al [27].