Experimental validation of a structural health monitoring methodology. Part II. Novelty detection on a Gnat aircraft

被引:130
作者
Manson, G
Worden, K
Allman, D
机构
[1] Univ Sheffield, Dynam Res Grp, Dept Mech Engn, Sheffield S1 3JD, S Yorkshire, England
[2] QinetiQ, Aero Struct Dept, Mech Sci Sector, Farnborough GU14 0LX, Hants, England
关键词
D O I
10.1006/jsvi.2002.5167
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper concerns the second phase of an experimental validation programme for a structural health monitoring methodology based on novelty detection. This phase seeks to apply one of the methods considered in the first stage of the work on a more realistic structure, namely the wing of a Gnat aircraft, as opposed to the previously investigated laboratory structure. The novelty detection algorithm used is that of outlier analysis and damage is introduced by making several copies of an inspection panel, each with a different controlled fault. All of these faults were detectable, a single feature was highlighted which proved capable of separating all the fault conditions from the unfaulted. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:345 / 363
页数:19
相关论文
共 6 条
[1]  
Barnett T., 1994, Outliers in statistical data, V3rd, P34
[2]   Experimental validation of a structural health monitoring methodology. Part III. Damage location on an aircraft wing [J].
Manson, G ;
Worden, K ;
Allman, D .
JOURNAL OF SOUND AND VIBRATION, 2003, 259 (02) :365-385
[3]  
NAIRAC A, 1997, P 5 INT C ART NEUR N
[4]   Experimental validation of a structural health monitoring methodology: Part I. Novelty detection on a laboratory structure [J].
Worden, K ;
Manson, G .
JOURNAL OF SOUND AND VIBRATION, 2003, 259 (02) :323-343
[5]  
Worden K, 2001, PROC SPIE, V4359, P1234
[6]   Damage detection using outlier analysis [J].
Worden, K ;
Manson, G ;
Fieller, NRJ .
JOURNAL OF SOUND AND VIBRATION, 2000, 229 (03) :647-667