A hybrid data interpretation framework for automated performance monitoring of infrastructure

Structures Congress 2015 - Proceedings of the 2015 Structures Congress

Volumn , Issue , 2015, Pages 426-434

  Malekzadeh, M ^a   Atia, G ^a   Catbas, F N ^a  

^a University of Central Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; ANALYTICAL SIMULATIONS; CONTINUOUS MONITORING; CRITICAL DAMAGE; DAMAGE CLASSIFICATION; DAMAGE SCENARIOS; MODEL BASED APPROACH; PERFORMANCE MONITORING;

DAMAGE DETECTION;

EID: 84929255540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784479117.037     Document Type: Conference Paper

References (6)

1. Malekzadeh, M., Gul, M., & Catbas, F. N. (2013). Application of Multivariate Statistically Based Algorithms for Civil Structures Anomaly Detection. In Topics in Dynamics of Civil Structures, Volume 4 (pp. 289-298). Springer New York.
2. Malekzadeh, M., Gul, M., & Catbas, F. N. (2012). Use of FBG Sensors to Detect Damage from Large Amount of Dynamic Measurements. In Topics on the Dynamics of Civil Structures, Volume 1 (pp. 273-281). Springer US.
3. Brownjohn, J. M. W. (2007). Structural health monitoring of civil infrastructure. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 365(1851), 589-622.
4. Catbas, F. N., Gokce, H. B., & Gul, M. (2012). Nonparametric analysis of structural health monitoring data for identification and localization of changes: Concept, lab, and real-life studies. Structural Health Monitoring, 11(5), 613-626.
5. Laory, I., Trinh, T. N., & Smith, I. F. (2011). Evaluating two model-free data interpretation methods for measurements that are influenced by temperature. Advanced Engineering Informatics, 25(3), 495-506.
6. Worden, K., & Dulieu-Barton, J. M. (2004). An overview of intelligent fault detection in systems and structures. Structural Health Monitoring, 3(1), 85-98.