基于测控数据挖掘的航天器故障诊断技术研究

被引:13
作者
李权
周兴社
机构
[1] 西北工业大学计算机学院
关键词
数据挖掘; 航天测控; 故障诊断;
D O I
10.16526/j.cnki.11-4762/tp.2011.03.051
中图分类号
TP311.13 [];
学科分类号
1201 ;
摘要
近年来数据挖掘技术的快速发展使得利用航天控制中心积累的大量测控数据进行航天器在轨故障诊断成为可能。基于数据挖掘的故障诊断技术能够从历史数据中自动或半自动地获取潜在的诊断知识,从而有效解决故障诊断中知识获取困难的问题。在研究航天器实际测控数据特点的基础上,分析了传统故障诊断技术的优缺点,提出了基于数据挖掘技术进行航天器故障诊断的可行方法,指出了基于数据挖掘的航天器故障诊断技术下一步研究的主要方向。
引用
收藏
页码:500 / 502
页数:3
相关论文
共 10 条
[1]  
Use of Data Mining on Satellite Data Bases for KnowledgeExtraction. Self L. Proceedings of the 13thInternational Florida Arti-ficial Intelligence Research Society Conference . 2000
[2]  
Telemetry?Mining:A Machine LearningApproach to Anomaly Detection and Fault Diagnosis for Space Sys-tem. Yairi T,Kawahara Y. SecondIEEEInternational Conference on Space MissionChallenges for Information Technologies . 2006
[3]  
Data Mining Applications for Space Mission OperationsSystem Health Monitoring. Iverson D. IEEE Aerospace Conference . 2008
[4]  
Rule discovery from time series. Das G,Lin K,Mannila H,et al. Proc of the4th Int’l Conf.on Knowledge Discovery and Data Mining,KDD’98 . 1998
[5]  
Data Mining For Space Applications. Foslien W,Guralnik V. Eighth International Conference on Space Operations . 2004
[6]  
Summarization ofSpacecraft Telemetry Data by Extracting Significant Temporal Pat-tern. Yairi T,Ogasawara S,Horizontal K,et al. PAKDD2004 .
[7]  
Expert System: Principles and Programming. Joseph C Giarratano,Gary D.Riley. . 2006
[8]  
Fast subsequence matching in time-series databases. Faloutsos C,Ranganathan M,Manolopoulos Y. Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data . 1994
[9]  
Rule extraction from linear support vector machines. Fung q,Sandilya S,Rao R. Proc.of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . 2005
[10]  
Finding Surprising Patterns in a Time Series Database in Linear Time and Space. Eamonn Keogh,Stefano Lonardi,Bill ‘Yuan-chi‘ Chiu. SIGKDD ‘02 . July,23-262002