Benchmark of Damage Localisation Algorithms Using Mode Shape Data

Joseph Morlier; F. Bos; P. Castera

doi:10.4028/www.scientific.net/KEM.293-294.305

Paper Titles

Computation Tool for Rotor's Life Consumption in Steam Turbines According to Industrial Specifications
p.269

Damage Analysis of Internal Surface Flaws Using Thermoelastic Stress Analysis
p.279

Novel Vibration-Based Methods for Detecting Delamination Damage in Composite Plate and Shell Laminates
p.289

Finite Element Model Updating for Damage Localisation and Quantification Using Experimental Modal Data
p.297

Benchmark of Damage Localisation Algorithms Using Mode Shape Data
p.305

Damage Location in Beam and Plate Structures by Wavelet Analysis of Experimentally Determined Mode Shapes
p.313

An Investigation on Vibration-Based Damage Detection in an Aircraft Wing Scaled Model
p.321

Example of Application of Experimental Modal Model for Damage Detection for a Rotating Shaft
p.329

Dynamics of Large Power Rotating Machine with Cracked Shaft
p.337

HomeKey Engineering MaterialsKey Engineering Materials Vols. 293-294Benchmark of Damage Localisation Algorithms Using...

Benchmark of Damage Localisation Algorithms Using Mode Shape Data

Abstract:

This paper presents a comparative study of three enhanced signal processing methods to locate damage on mode shape data. The first method called curvature mode shape is used as a reference. The second tool uses wavelet transform and singularity detection theory to locate damage. Finally we introduce the windowed fractal dimension of a signal as a tool to easily measure the local complexity of a signal. Our benchmark aims at comparing the crack detection using optimal spatial sampling under different severity, beam boundary conditions (BCs) and added noise measurements.

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Periodical:

Key Engineering Materials (Volumes 293-294)

Pages:

305-312

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.293-294.305

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Online since:

September 2005

Authors:

Joseph Morlier, F. Bos, P. Castera

Keywords:

Curvature, Damage Detection, Fractal Dimension, Wavelet

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References

[1] S.W. Doebling, C.R. Farrar, M.B. Prime, and D.W. Shevitz: Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in their Vibration Characteristics: A literature Review (Los Alamos National Laboratory report LA-13070-MS, USA 1996).

DOI: 10.2172/249299

Google Scholar

[2] M.I. Friswell, J.E.T. Penny and D.A.L. Wilson: J. Anal. Exp. Modal Analysis Vol. 9(4) (1994), pp.239-254.

Google Scholar

[3] R.D. Adams, P. Cawley: J. Strain Anal. Vol. 14(2) (1979), pp.49-57.

Google Scholar

[4] A.K. Pandey, M. Biswas and M.M. Samman: J. Sound Vib. Vol. 145(2) (1991), pp.321-332.

Google Scholar

[5] S. Sazonov: An Automated Damage Detection System for Armoured Vehicle Launched Bridge (PhD Thesis, West Virginia University, USA 2002).

Google Scholar

[6] J. Morlier, F. Bos and P. Castera: Structural Health Monitoring of Timber Structure using Advanced Vibration Analysis (Proceedings of 5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques, Senlis France, Oct. 2004).

Google Scholar

[7] E. Douka, S. Loutridis and A. Trochidis: J. Sol. Struct. Vol. 40(13-14) (2003), pp.3557-3569.

DOI: 10.1016/s0020-7683(03)00147-1

Google Scholar

[8] J.C. Hong, Y.Y. Kim, H.C. Lee and Y.W. Lee: J. Sol. Struct. Vol. 39(7) (2002), pp.1803-1816.

Google Scholar

[9] L.J. Hadjileontiadis, E. Douka and A. Trochidis: Mech. Sys. Sig. Processing Vol. 19(3) (2005), pp.659-674.

Google Scholar

[10] S. Mallat and W.L. Hwang: IEEE Trans. Inf. Theory Vol. 38(2) (1992), pp.617-643.

Google Scholar

[11] R. Esteller, J. Echauz, T. Tcheng, B. Litt, and B. Pless: Line Length: An Efficient Feature for Seizure Onset Detection (Proceedings of 23rd ICEMB IEEE, Istanbul Turkey, Oct. 2001).

DOI: 10.1109/iembs.2001.1020545

Google Scholar