Sensor fault identification and correction in structural health monitoring

Proceedings of ISMA2006: International Conference on Noise and Vibration Engineering

Volumn 2, Issue , 2006, Pages 873-885

  Kullaa, J ^a  

^a City of Helsinki   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; STRUCTURAL HEALTH MONITORING;

CORRELATION MODELING; FAULTY SENSOR; HISTORY DATA; MEASUREMENT DATA; MISSING DATA ANALYSIS; SENSOR SIGNALS; STRUCTURAL DAMAGES; TRAINING DATA;

SENSORS;

EID: 77953323144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Kullaa, J. 2005.Damage detection under a varying environment using the missing data concept. Proceedings of the 5th International Workshop on Structural Health MonitoringFu-Kuo Chang (ed.) Stanford, CA. September 12-14, 2005. Stanford University. DEStech Publications. 565-573.
2. Dunia, R., Qin, S.J., Edgar, T.F., and McAvoy, T.J. 1996. Identification of faulty sensors using principal component analysis. AiChe Journal, Vol. 42, No. 10, 2797-2812.
3. Kerschen, G., De Boe, P., Golinval, J.-C., and Worden, K. 2004. Sensor validation for on-line vibration monitoring. Proceedings of the Second European Workshop on Structural Health Monitoring 2004.Boller, C. and Staszewski, W.J. (editors). Munich, Germany, July 7-9, 2004. DEStech Publications. 819-827.
4. Kullaa, J. 2002. Elimination of environmental influences from damage-sensitive features in a structural health monitoring system. First European Workshop on Structural Health Monitoring, Paris, July 10-12, 2002. Onera. DEStech Publications. 742-749.
5. Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B. 2004. Bayesian data analysis. 2nd edition. Boca Raton. Chapman & Hall/CRC. 668 p.
6. Montgomery, D.C. 1997. Introduction to statistical quality control. 3rd edition. New York. John Wiley & Sons. 728 p.