Purpose

This paper aims to improve the fault detection adaptive threshold of aircraft flap control system to make the system fault diagnosis more accurate.

Design/methodology/approach

According to the complex mechanical–electrical–hydraulic structure and the multiple fault modes of the aircraft flap control system, the advanced fault diagnosis method based on the bond graph (BG) model is presented, and based on the system diagnostic BG model, the parameter uncertainty intervals are estimated and a new adaptive threshold is constructed by linear fraction transformation.

Findings

To construct a more reasonable and accurate adaptive threshold range to more accurately detect system failures, some typical failure modes’ diagnosis process are selected and completed for verification; the simulation results show that the proposed method is effective and feasible for complex systems’ fault diagnosis.

Practical implications

This study can provide a theoretical guidance and technical support for fault diagnosis of complex systems, which avoid misdiagnosis and missed diagnosis.

Originality/value

This study enables more accurate fault detection and diagnosis of complex systems when considering factors such as parameter uncertainty.

中文翻译：

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基于键合图的飞机襟翼控制系统故障诊断的改进

目的

本文旨在提高飞机襟翼控制系统的故障检测自适应阈值，使系统的故障诊断更加准确。

设计/方法/方法

针对复杂的机电液结构和飞机襟翼控制系统的多种故障模式，提出了基于键合图（BG）模型的高级故障诊断方法，并基于系统诊断BG模型确定了参数估计不确定性区间，并通过线性分数变换构造新的自适应阈值。

发现

为了构建更合理，更准确的自适应阈值范围，以更准确地检测系统故障，选择并完成了一些典型故障模式的诊断过程进行验证。仿真结果表明，该方法对复杂系统的故障诊断是有效可行的。

实际影响

该研究可以为复杂系统的故障诊断提供理论指导和技术支持，避免误诊和漏诊。

创意/价值

当考虑参数不确定性等因素时，这项研究可以对复杂系统进行更准确的故障检测和诊断。