测试技术学报Issue(5)：379-384,6.DOI:10.3969/j.issn.1671-7449.2015.05.003
飞行实测信号中特征数据的模糊提取
Feature Data Extraction From Flight Test Signal Based on Fuzzy Theory
摘要
Abstract
Extracting some kind of feature data is usually needed during processing flight test signal.If the feature is difficult to describe by certain mathematical expression,this work can only be done manu-ally.Aiming at this problem,a kind of method of feature data extraction from flight test signal is put forward.The characteristic of this method use for reference of the theory of fuzzy mathematics and the fuzzy feature is described by mathematical language.Thus the automatic destination and extraction of the program is realized.First of all,the boundary feature is given when grade of membership is 0 and 1. Next membership function needs to be determined for judging the degree of data in accordance with some kind of feature.Then according to membership grade calculation of each sampling point and two values processing to determine whether each sampling point has the feature can be judged.Finally time inter-vals can be obtained after intervals extraction and merging.This method has been successfully applied to the extraction of specified power state data of a certain type of turboprop engine.Result shows that the data extracted is complete and accurate.关键词
信号处理/模糊数学/数据提取/飞行实测/涡桨发动机Key words
signal processing/fuzzy mathematics/data extraction/flight test/turboprop分类
航空航天引用本文复制引用
赵丽娜,李五一,段垚奇,闫楚良..飞行实测信号中特征数据的模糊提取[J].测试技术学报,2015,(5):379-384,6.基金项目
国家自然科学基金资助项目(50135010) （50135010）
