Abstract
The accuracy and rationality of the system life depends not only on the detailed grasp of the system operation information, but also on the structural relationship between the internal components of the system and the correlation between the characteristics of each component and the degradation of the components. This article explicitly considers the different characteristics of component failure, and adopts different random process personalized modeling for the failure modes of different components; on this basis, the failure correlation between the components that work together to realize the system function is considered, and the synergistic effect of component failure is integrated into the reliability degradation model of components. In terms of system failure criteria, starting from an economic point of view, the overall working cycle of the system is obtained by comparing the relationship between the replacement cycle of lossy parts and the remaining life of the stable parts. Finally, an example is given to show the effectiveness and practicability of the proposed method.
Highlights
Accurate prediction of equipment life cycle depends to a large extent on the consistency between the reliability degradation model of equipment components and the actual situation[2, 3], and the practical reliability degradation model is the prerequisite for accurately grasping the operation status of equipment, reasonably arranging the production plan, and maximizing the production capacity of equipment
Some researchers have considered the multi-state of the degradation process in the modeling process, and divided the degradation process into normal, defect, failure and other states according to the performance characteristics of the equipment to model the reliability degradation process [4]
Some researchers have paid attention to the influence of the self-healing ability of equipment made of special materials while considering the multiple stages of the degradation process [5]
Summary
Accurate prediction of equipment life cycle depends to a large extent on the consistency between the reliability degradation model of equipment components and the actual situation[2, 3], and the practical reliability degradation model is the prerequisite for accurately grasping the operation status of equipment, reasonably arranging the production plan, and maximizing the production capacity of equipment. Reference [12] considers the influence of disassembly operations on system reliability under different influencing factors, and proposes a connection matrix model that quantifies the effect of disassembly operations on component degradation processes. These researches take multi-component system as the research object and only consider the series-parallel relation of components more, the degradation process of components is independent from each other, which is the motivation of the author to consider the related system reliability degradation process on the basis of the respective characteristics of components. This article uses an economic criterion to compare the cost and system benefits of lossy components to determine the life cycle of the system
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