Online Vibration-Based Crack Detection during Fatigue Testing

[1] S. Vanlanduit, E. Parloo, P. Guillaume, and W. De Vos: Validation of on-line linear and nonlinear fatigure crack detection techniques. In Proceedings of the First European Workshop on Structural Health Monitoring 2002, Paris, France, pp.219-226.

Google Scholar

[2] S. Vanlanduit, P. Verboven, and P. Guillaume: On-line detection of fatigue cracks using an automatic mode tracking technique. In Proceedings of the First European Workshop Structural on Health Monitoring 2002, Paris, France, pp.734-741.

DOI: 10.1016/s0022-460x(02)01572-9

Google Scholar

[3] M. Basseville, M. Abdelghani, and A. Benveniste: Subspace-based fault detection algorithms for vibration monitoring. Automatica, 36(1), pp.101-109, (2000).

DOI: 10.1016/s0005-1098(99)00093-x

Google Scholar

[4] M. Basseville and L. Mevel: Output-only stochastic subspace-based structural identification and damage detection and localization. In Proceedings of the First European Workshop Structural on Health Monitoring 2002, Paris, France, pp.229-236.

DOI: 10.1177/1475921703002002008

Google Scholar

[5] H. Akaike: Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes. Annals of the Institute of Statistical Mathematics, 26, pp.363-387, (1974).

DOI: 10.1007/bf02479833

Google Scholar

[6] A. Benveniste and J. -J. Fuchs: Single sample modal identification of a nonstationary stochastic process. IEEE Transactions on Automatic Control, AC-30(1), pp.66-74, (1985).

DOI: 10.1109/tac.1985.1103787

Google Scholar

[7] L. Hermans and H. Van der Auweraer: Modal testing and analysis of structures under operational conditions: industrial applications. Mechanical Systems and Signal Processing, 13(2), 193-216, (1999).

DOI: 10.1006/mssp.1998.1211

Google Scholar

[8] B. Peeters: System Identification and Damage Detection in Civil Engineering. PhD thesis, Department of Civil Engineering, Katholieke Universiteit Leuven, Belgium.

Google Scholar

[9] L. Mevel, L. Hermans, and H. Van der Auweraer: Application of a subspace-based fault detection method to industrial structures. Mechanical Systems and Signal Processing, 13(6), 823838, (1999).

DOI: 10.1006/mssp.1999.1247

Google Scholar

[10] C.P. Fritzen and G. Mengelkamp: Detection of delaminations in composite materials using a smart structures concept. In Proceedings of the First European Workshop Structural on Health Monitoring 2002, Paris, France, pp.237-244.

Google Scholar

[11] A. Vecchio, H. Van der Auweraer, G. Ferraro, F. Garesci, and F. Petrone: An experimental validation of a model-based approach in damage detection and localization. In Proceedings of the First European Workshop Structural on Health Monitoring 2002, Paris, France, pp.245-252.

Google Scholar

[12] L. Mevel, M. Goursat, and M. Basseville: Stochastic subspace-based structural identification and damage detection and localization - Application to the Z24 bridge benchmark. Mechanical Systems and Signal Processing, Special Issue on COST F3 benchmarks, 17(1), pp.143-151, (2003).

DOI: 10.1006/mssp.2002.1552

Google Scholar

[13] J. Schoukens, Y. Rolain, J. Swevers, and J. De Cuyper: Simple methods and insights to deal with nonlinear distortions in FRF-measurements, Mechanical Systems and Signal Processing, 14(4), pp.657-666, (2000).

DOI: 10.1006/mssp.2000.1306

Google Scholar