Research on Abnormal Detection of Aircraft Components Based on Support Vector Regression Machine
In order to optimize the anomaly detection effect of aviation aircraft components and accurately detect and identify the abnormal status of aviation aircraft components,support vector regression machine was used to carry out research on component anomaly detection.Firstly,real-time collection of relevant data on aircraft components and extraction of component features;Secondly,based on support vector regression,a de-tection model is constructed to determine whether the data points are outliers;On this basis,using degrada-tion degree,abnormal situations of aircraft components are detected to identify their health status.The experi-mental results show that after the proposed method is applied,the abnormal detection results of components are closer to the actual situation,and can more accurately detect and identify the abnormal status of aviation aircraft components.
support vector regression machineaviationcomponentsaircraftabnormaldetection
万方数据
维普
