计算技术与自动化2017，Vol.36Issue(2)：29-32,4.
基于分段距离和子序列匹配的飞机故障检测
Airplane Fault Detection Based on Segmental Distance and Subsequence Match
摘要
Abstract
As about high repetition and large volume of data in airplane fault detection data as well as low efficiency and accuracy of monitoring algorithm,this paper,based on PAA packed data,utilizes segmental probability to extract,adjust FP-Growth and establish FP-Tree,thereby reducing repetition degree of data and improving its searching speed.In addition,algorithm on the basis of segmental distance and subsequence match is proposed.In this paper,the real QAR data of flight will be adopted to verify reliability and accurateness of the algorithm.关键词
飞机故障检测/分段概率提取/QAR数据/FP-Tree/子序列匹配Key words
airplane fault detection/segmental probability extract/QAR data/FP-Tree/subsequence match分类
信息技术与安全科学引用本文复制引用
马发民,王锦彪,张林..基于分段距离和子序列匹配的飞机故障检测[J].计算技术与自动化,2017,36(2):29-32,4.基金项目
国家自然科学基金项目(60472121),商洛学院自然科学研究项目(15SKY007). （60472121）
