In order to enhance the reliability of systems, standby components are frequently used. The standby components can be classified as cold standby components, warm standby components, and hot standby components. In particular, warm standby technique can reach a balance between system recovery time and the energy consumed. Warm standby components are partially powered as standby but fully powered if they replace the primary components that have failed. As warm standby components have different failure rates during the two different kinds of states, it brings difficulty into evaluating the reliability of systems consisting of warm standby components. The existing researches studying systems with warm standby components are mainly restricted to parallel structure. However, practical systems can have more complex structure, such as series-parallel systems and consecutively connected systems. Besides more complex structure, practical systems may also have multiple working states and phased-mission requirements. With the time dependent failure caused by warm standby components and the complexity of the system itself, it is difficult to use a single technique to evaluate the reliability of complex systems with warm standby components. In this study, efforts are devoted to combine different methods to study the reliability of different complex multi-state phased mission systems with warm standby components.
为了增加系统的可靠性,经常会使用到储备件。储备件可以分为冷储备,温储备和热储备。其中,温储备可以在能量消耗和系统恢复时间之间取得平衡。温储备元件作为储备时处于部分工作状态,只有在工作元件失效后才替换主元件进入完全工作状态。温储备元件在这两种状态下的故障发生率不同,这给温备份系统的可靠性建模带来很大的挑战。目前对含有温储备的系统的研究多局限于并联结构。 而实际的系统可能拥有更复杂的结构,比如串并联系统和连续连接系统。除了结构更复杂之外,系统还可能包括多个工作状态和多个工作阶段。由于温储备元件带来的故障时间相关性以及系统本身的复杂性, 很难用单一的可靠性评估方法对系统可靠性进行评估。本研究将结合多种可靠性评估方法建立起含有温储备元件的各种复杂多态多阶段系统的可靠性模型。
工业系统有很多都是多态系统,也有很多系统需要完成多个阶段的任务,因此研究多态多阶段系统可靠性建模与优化非常重要. 另外,为了增加系统可靠性,常常需要使用冗余. 相比热备份和冷备份,温备份既不会消耗太多能源,又可以比较快地进行切换,因此近几年受到了越来越多的关注. 但是,由于温备份元件在温备份状态和工作状态下的失效时间分布会改变,这导致带有温备份的系统的可靠性建模数学上比较困难. 本人之前的青年项目对二态的温备份系统可靠性进行了研究,该项目为青年项目的延伸,研究了多态温备份系统的可靠性,并进而研究了带有性能共享机制的多态温备份系统可靠性,以及多阶段冗余系统的可靠性. 所做研究可以为各种复杂系统的可靠性研究借鉴.
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数据更新时间:2023-05-31
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