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

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.