机载液压系统具有余度降级、故障检测、隔离等动态时序过程,传统基于两元可靠性模型很难描述其动态行为和性能降级过程。针对这一问题,采用分层聚类和广义随机Petri网相结合建立了机载液压系统可靠性模型。利用该模型,详细分析了故障检测装置的故障检测率对系统可靠性的影响。分析结果表明,由于故障检测装置故障检测率的影响,机载液压作动系统除了完好状态和正常故障状态,还存在着潜在故障状态和致命危险状态。在实际机载液压系统可靠性设计中,应合理配置系统可靠性参数,使得飞机处于致命危险状态的概率尽可能小。
Many kinds of dynamical processes (such as redundancy degradation, fault detection, and fault isolation) exist in an aircraft hydraulic actuator system (AHAS). This makes it difficult for the traditional reliability analysis based on a two-state model to describe its dynamic behaviors and performance degradation processes. To deal with the issue, this paper combines hierarchical clustering and generalized stochastic Petri nets (GSPN) to build up a reliability model of AHAS. Based on this model, the effect of the fault detection rate of the fault detection devices in AHAS is discussed in detail. The analysis shows that due to this effect, there exists a potential failure state and the state of fatal failure in an aircraft hydraulic actuator system in addition to the operational state and normal failure state. Therefore, in actual reliability design for an aircraft hydraulic system, the rational allocation of system reliability parameters should be designed carefully to ensure that the probability of an aircraft in mortal danger is reduced to the minimum.
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