A hybrid approach for aircraft fault diagnosis based on fault inference and fault identification

X. Liu; Z.Liu

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A hybrid approach for aircraft fault diagnosis based on fault inference and fault identification

机译：基于故障推理与故障识别的飞机故障诊断混合方法

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A cockpit instrumentation system provides various elements of information for pilots. However, logical inference based on a cockpit instruments fault tree (FT) and reliability sometimes cannot give a correct diagnosis of failures. In addition, in flight control systems (FCS), a fault identification method based on the multiple-model (MM) estimator cannot find the basic fault cause. To deal with these problems, a hybrid approach which is capable of integrating inference and fault identification is proposed. In this approach, the event nodes of the FT which have correlations to the FCS are separated into modules. Each module corresponds to a fault mode of the FCS. To use these correlations, fault inference and the MM estimator can share fault diagnosis information. Simulation results show that the proposed approach is helpful in detecting the root cause of failure and is more correct than single fault diagnosis method.

机译：座舱仪表系统为飞行员提供各种信息元素。但是，基于座舱仪表故障树（FT）和可靠性的逻辑推理有时无法正确诊断故障。另外，在飞行控制系统（FCS）中，基于多模型（MM）估计器的故障识别方法无法找到基本的故障原因。为了解决这些问题，提出了一种能够将推理和故障识别相结合的混合方法。在这种方法中，将与FCS相关的FT事件节点分成模块。每个模块对应于FCS的故障模式。要使用这些相关性，故障推断和MM估计器可以共享故障诊断信息。仿真结果表明，与单一故障诊断方法相比，该方法有助于发现故障的根本原因，更准确。

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《The Aeronautical Journal》 |2014年第1199期|81-97|共17页
作者
X. Liu; Z.Liu;
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CAD Research Center Tongji University Shanghai China;

Aerospace System Engineering Shanghai Shanghai China;

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正文语种 eng
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A hybrid approach for aircraft fault diagnosis based on fault inference and fault identification

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