Data Preprocessing Measures for Unmanned Aerial Vehicle Sensor Fault Diagnosis System
The safety of drone flight is directly related to the information support provided by sensors.To ensure the authenticity and effectiveness of information,preprocessing sensor data is of great significance and can effectively improve the fault diagnosis rate.Based on this,the article explores the data preprocessing measures of the unmanned aerial vehicle sensor fault diagnosis system.Firstly,introduce the composition of drone sensors.Afterwards,signal noise interference is eliminated by combining median filtering and wavelet filtering with improved threshold function.Finally,the effectiveness of this method is verified through simula-tion experiments.
万方数据
维普
