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A health monitoring technology based on MSPC for civilian aircraft flap/slat control system

机译：基于MSPC的民用飞机挡板/板条控制系统的健康监测技术

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摘要

A Multivariate Statistical Process Control-based health monitor technology for a flap/slat control system of civilian aircraft was proposed. A diagnostic model based on Multivariate Statistical process Control (MSPC) method and its simulation results for flap/slat control system (FSCS) were presented. Then reasons for performance degradation of FSCS were analyzed. Runger U2 statistics was used as core algorithm of the monitoring technology. Two sensor measurements concluding system command current and aerodynamic load as the feature parameters of performance degradation were selected. The sensitive of the parameters to failure conditions were differentiate. The feature parameters-based system's operation normal pattern and threshold were obtained. The threshold and a difference between collected variables and normal pattern and were compared to judge the system's abnormal behavior. The experimental results demonstrate that the proposed methodology produces significant performance improvements over other algorithms.
机译：提出了一种多变量统计过程控制的平民/板条控制系统的基于统计过程控制的健康监测技术。提出了一种基于多变量统计过程控制（MSPC）方法的诊断模型及其对襟翼/板路控制系统（FSCs）的仿真结果。然后分析了性能降解FSC的原因。 Runger U2统计用作监控技术的核心算法。选择了两个传感器测量结果，选择了系统命令电流和空气动力学负载作为性能劣化的特征参数。失效条件的参数敏感性分辨。获得了基于特征参数的系统的操作正常模式和阈值。收集变量与正常模式之间的阈值和差异，并进行了比较，以判断系统的异常行为。实验结果表明，所提出的方法在其他算法中产生显着的性能改进。

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