Design of Stall Detection System for Aircraft Engine Starting Process Based on Wavelet Analysis
To improve the success rate and safety of the starting process of aircraft engines,a stall detection system based on wavelet analysis is designed.The system integrates high-precision speed and flow sensors,which can capture real-time dynamic data during the starting process,ensuring the accuracy and completeness of the data.In terms of technical implementation,internal struc-tural adjustments have been made to the signal processor to improve data processing efficiency in response to the operational require-ments of wavelet analysis technology.At the same time,the main control unit of the system was modified,the connection method of the system circuit was optimized,and an efficient detection system database was constructed from both logical and physical perspec-tives.By simulating the starting process of aircraft engines,strict stall detection standards were established,and a large amount of working data during the starting process was collected using sensor equipment.Based on the powerful capabilities of wavelet analysis technology,detailed transformation and decomposition operations were carried out on these data,successfully extracting key working features during the starting process of aircraft engines,and achieving accurate detection of stall phenomena through feature matching.The system test results show that under ideal and non ideal scenarios,the optimized design reduces the system speed detection error by 109.4 r/min and 128.1 r/minrespectively,and the stall false detection rate by 10％and 25％respectively.These significant per-formance improvements not only validate the effectiveness and reliability of the system design,but also demonstrate the enormous po-tential of wavelet analysis technology in stall detection during aircraft engine start-up.
wavelet analysisaircraft enginesstarting processstall detection system
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