基于分层多信号流图的飞机空调系统故障诊断
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TH17;V240.2

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(江苏高校优势学科建设工程资助项目)


Fault Diagnosis of Aircraft Air Conditioning System Based on Hierarchy Multi-signal Flow
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    摘要:

    在对飞机空调系统各主要部件进行故障模式影响分析(failure mode and effects analysis,简称FMEA)的基础上,采用分层多信号流图(hierarchy multi-signal flow,简称HMSF)方法对飞机空调系统进行故障诊断与仿真分析,得出了飞机空调系统的故障测试关联矩阵,并给出系统各部件的故障检测率和故障隔离率。针对系统故障隔离率较低的情况,在尽可能少增检测点的前提下,对飞机空调系统分层多信号流故障模型进行了改进,增加了涡轮等部件共5个检测点,使飞机空调系统的故障检测率从91.4%提高到100%,故障隔离率从32.9%提高到83.9%。研究发现,分层多信号流图方法有助于改善飞机空调系统的故障检测率和故障隔离率,提高系统的故障诊断效率,为飞机空调系统健康管理的设计提供技术基础。

    Abstract:

    Based on the failure mode and effects analysis (FMEA) of the main parts in the air conditioning system, this paper builds the fault model of the air conditioning system by the hierarchy multi-signal flow method. According to the failure analysis, the fault-test dependency matrix for multi-signal flow of air conditioning system is given out. Moreover, fault detection rate (FDR) and fault isolation rate (FIR) of each component are carried out. It’s found that the FDR and FIR, especially the latter parameter, are low. To improve their values, the model is improved by including additional five measurement points. By this way, the FDR is improved from 91.4% to 100%, and the FIR is improved from 32.9% to 83.9%. The results show that the hierarchy multi-signal flow can be used to improve the FDR and FIR, increase the fault diagnosis efficiency, and guide the design of the health management of aircraft air conditioning.

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  • 在线发布日期: 2018-03-02
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