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

Journal of Sound and Vibration

Volumn 259, Issue 2, 2003, Pages 345-363

  Manson, G ^a   Worden, K ^a   Allman, D ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b DEFENCE SCIENCE AND TECHNOLOGY LABORATORY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; ALGORITHMS; EVALUATION; FAILURE (MECHANICAL); MONITORING; VIBRATIONS (MECHANICAL);

GNAT AIRCRAFT; OUTLIER ANALYSIS; STRUCTURAL HEALTH MONITORING;

WINGS;

EID: 0037250871     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1006/jsvi.2002.5167     Document Type: Article

References (6)

1. K. Worden, G. Manson and D. J. Allman 2003 Journal of Sound and Vibration 259, 323-343. Experimental validation of a structural health monitoring methodology. Part I: novelty detection on a laboratory structure.
2. G. Manson, K. Worden and D. J. Allman 2003 Journal of Sound and Vibration 259, 365-385, Experimental validation of a structural health monitoring methodology. Part III: damage location on an aircraft wing.
3. K. Worden, G. Manson and N. R. Fieller 1999 Journal of Sound and Vibration 229, 647-667, Damage detection using outlier analysis.
4. V. Barnett and T. Lewis 1994 Outliers in Statistical Data, Chichester: John Wiley and Sons; third edition.
5. A. Nairac, T. A. Corbett-Clark, R. Ripley N. W. Townsend and L. Tarassenko 1997 Proceedings of the Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. Choosing an appropriate model for novelty detection.
6. K. Worden, L. Y. Cheung and J. A. Rongong 2001 Proceedings of 19th International Modal Analysis Conference, Orlando, FL, 1234-1241. Damage detection in an aircraft component model.