Sensitivity Analysis of Typical Aircraft Components Considering Performance Degradation

doi:10.7652/xjtuxb201904023

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Sensitivity Analysis of Typical Aircraft Components Considering Performance Degradation

更新时间：2025-07-09

- Sensitivity Analysis of Typical Aircraft Components Considering Performance Degradation
- Vol. 53, Issue 4, Pages: 158-166(2019)
- 作者机构：
  
  西安航空学院飞行器学院,西安,710077
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201904023
  CLC： V19;TB114.3
- Online First：10 April 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
Sensitivity Analysis of Typical Aircraft Components Considering Performance Degradation[J]. 2019, 53(4): 158-166.
DOI：

Sensitivity Analysis of Typical Aircraft Components Considering Performance Degradation[J]. 2019, 53(4): 158-166. DOI： 10.7652/xjtuxb201904023.

摘要

为了研究发生性能退化的飞机典型部件对缝翼机构运动精度的影响

以缝翼机构滚轮为典型部件

选取飞机在起降阶段缝翼转过的角度作为系统输出响应

建立多体运动学模型。考虑滚轮的不同磨损情况

基于Archard磨损模型结合随机参数与人工神经网络法

得到缝翼机构的功能函数表达式。使用基于方差重要性测度与基于矩独立重要性测度两种灵敏度分析方法对飞机典型部件进行灵敏度分析

研究了随滚轮磨损量与磨损量变异系数的变化对缝翼机构运动精度的影响。研究结果表明

在飞机机构的设计、使用和检修维护不同阶段采用相应的灵敏度分析方法可以精确识别出系统中随机变量的重要性排序

对系统中灵敏度指标排序较高的变量进行优化设计和重点关注可以有效提高系统的可靠性和稳健性

同时也有效地提高了机构灵敏度分析效率。本文分析方法还可为其他机构系统的设计、使用和检修提供参考指导。

Abstract

To study the impacts of typical aircraft components with performance degradation on the motion accuracy of slat mechanism

a multi-body kinematics model for the slat mechanism is constructed. Rollers of the slat mechanism are selected as the typical parts

and the angle of the slat mechanism is considered as the system output response. The roller wheel wear in different circumstances is taken into account

and a performance function with explicit expression of the slat mechanism is established based on Archard wear model and combination of stochastic parameters and an artificial neural network method. The variance-based importance measure and the moment-independent importance measure are used to analyze the sensitivity of typical aircraft components

and the influences of variation coefficient and extent of wheel wear on the motion accuracy of the slat mechanism are studied. The calculation and analysis results show that the proposed method can accurately identify the importance ranking of the random variables during the stages of design

use and maintenance of aircraft mechanisms

and optimizing and emphasizing the variables with higher sensitivity in the system can effectively improve the reliability and robustness of the system; and can increase the efficiency of mechanism sensitivity analysis. The proposed method may also be a theoretical guidance for the design

use and maintenance of other mechanism systems.

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