Operational Damage Identification Scheme Utilizing De-Noised Frequency Response Functions and Artificial Neural Network-Reference-Cited by-同舟云学术

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Operational Damage Identification Scheme Utilizing De-Noised Frequency Response Functions and Artificial Neural Network

Published:2020-08-25 Issue:3 Volume:39 Page:
ISSN:0195-9298
Container-title:Journal of Nondestructive Evaluation
language:en
Short-container-title:J Nondestruct Eval

Author:

Chen Shilei,Ong Zhi Chao,Lam Wei Haur,Lim Kok-Sing,Lai Khin Wee

Funder

University of Malaya RU Geran

Impact-Oriented Interdisciplinary Research Grant

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s10921-020-00709-x.pdf

Reference29 articles.

1. Fan, W., Qiao, P.Z.: Vibration-based damage identification methods: a review and comparative study. Struct. Health Monit. 10(1), 83–111 (2011)

2. Carden, E.P., Fanning, P.: Vibration based condition monitoring: a review. Struct. Health Monit. 3(4), 355–377 (2004)

3. Zhao, J., DeWolf, J.T.: Sensitivity study for vibrational parameters used in damage detection. J. Struct. Eng. 125(4), 410–416 (1999)

4. Jassim, Z.A., Ali, N.N., Mustapha, F., Jalil, N.A.A.: A review on the vibration analysis for a damage occurrence of a cantilever beam. Eng. Fail. Anal. 31, 442–461 (2013)

5. Guo, H.Y., Li, Z.L.: Two-stage multi-damage detection method based on energy balance equation. J. Nondestr. Eval. 30(3), 186–200 (2011)

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