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基于GSPN的机载液压作动系统可靠性模型
引用本文:石健,王少萍,王康. 基于GSPN的机载液压作动系统可靠性模型[J]. 航空学报, 2011, 32(5): 920-933. DOI: CNKI:11-1929/V.20110107.1205.001
作者姓名:石健  王少萍  王康
作者单位:北京航空航天大学自动化科学与电气工程学院,北京,100191
基金项目:国家自然科学基金,国家"863"计划,"111"计划
摘    要: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...

关 键 词:广义随机Petri网  机载液压系统  作动器  检测率  致命故障  可靠性模型
收稿时间:2010-07-27;

GSPN-based Reliability Model of Aircraft Hydraulic Actuator System
SHI Jian,WANG Shaoping,WANG Kang. GSPN-based Reliability Model of Aircraft Hydraulic Actuator System[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(5): 920-933. DOI: CNKI:11-1929/V.20110107.1205.001
Authors:SHI Jian  WANG Shaoping  WANG Kang
Affiliation:School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China
Abstract: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.
Keywords:generalized stochastic Petri net  aircraft hydraulic system  actuator  detection rate  fatal failure  reliability model
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