Research on Compression Method of Aero Turbofan Engine Starting Real-time Data

Abstract The aero turbofan engine starting controller is responsible for starting aero turbofan engine, and records the real-time data of the whole starting process while ensuring the aero turbofan engine working reliably, which is great significant for evaluating the aero turbofan engine working condition and fault detection, and the improved EFDR-LZW is proposed to save the problem. Firstly, evaluate the aero turbofan engine starting probability based on AHP to solve the problem of lacking long-time aero turbofan engine starting data and evaluate aero turbofan engine working properly for multiple experts based on GCA. Secondly, rearrange the signal position and order based on sample data for EFDR and compresses the coded date of EFDR based on LZW again to increase compression ratio. Finally, test the performance under abnormal room, high and low temperature and the result proves aero turbofan engine starting controller working reliably.