R. Isermann, Fault-Diagnosis Applications, 2011.
DOI : 10.1007/978-3-642-12767-0

P. M. Frank, Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy, Automatica, vol.26, issue.3, pp.459-474, 1990.
DOI : 10.1016/0005-1098(90)90018-D

R. J. Patton, Fault detection and diagnosis in aerospace systems using analytical redundancy, Computing & Control Engineering Journal, vol.2, issue.3, pp.127-136, 1991.
DOI : 10.1049/cce:19910031

G. Campa, On-line learning neural networks for sensor validation for the flight control system of a B777 research scale model, International Journal of Robust and Nonlinear Control, vol.39, issue.11, pp.987-1007, 2002.
DOI : 10.1002/rnc.728

R. J. Patton, J. Chen, and T. M. Siew, Fault diagnosis in nonlinear dynamic systems via neural networks, International Conference on Control '94, 1994.
DOI : 10.1049/cp:19940332

J. Bilek, I. Mittrup, K. Smarsly, and D. Hartmann, Agent-based Concepts for the Holistic Modeling of Concurrent Processes in Structural Engineering, Proceedings of the 10th International Conference on Concurrent Engineering: Research and Applications, 2003.

K. Smarsly, K. Lehner, and D. Hartmann, Structural Health Monitoring based on Artificial Intelligence Techniques, Computing in Civil Engineering (2007), 2007.
DOI : 10.1061/40937(261)14

K. Smarsly and K. H. Law, A migration-based approach towards resource-efficient wireless structural health monitoring, Advanced Engineering Informatics, vol.27, issue.4, pp.625-635, 2013.
DOI : 10.1016/j.aei.2013.08.003

K. Smarsly, K. H. Law, and M. König, Autonomous Structural Condition Monitoring based on Dynamic Code Migration and Cooperative Information Processing in Wireless Sensor Networks, Proceedings of the 8th International Workshop on Structural Health Monitoring, 2011.

K. Smarsly, K. H. Law, and M. König, Resource-efficient wireless monitoring based on mobile agent migration, Health Monitoring of Structural and Biological Systems 2011, 2011.
DOI : 10.1117/12.880016

S. Malinov, W. Sha, and Z. Guo, Application of artificial neural network for prediction of time???temperature???transformation diagrams in titanium alloys, Materials Science and Engineering: A, vol.283, issue.1-2, pp.1-10, 2000.
DOI : 10.1016/S0921-5093(00)00746-2

K. Smarsly and K. H. Law, Decentralized fault detection and isolation in wireless structural health monitoring systems using analytical redundancy, Advances in Engineering Software, vol.73, 2013.
DOI : 10.1016/j.advengsoft.2014.02.005

Y. Petryna, A. Künzel, and M. Link, On alternative approaches to system identification, Proceedings of the 8th International Conference on Structural Dynamics, 2011.

J. C. Da-silva, A. Saxena, E. Balaban, and K. Goebel, A knowledge-based system approach for sensor fault modeling, detection and mitigation, Expert Systems with Applications, vol.39, issue.12, pp.39-10977, 2012.
DOI : 10.1016/j.eswa.2012.03.026