Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2266
Title: Damage Identification of Beam Structure Using Discrete Wavelet Transform
Authors: Kumar, Gaurav
Dhariwal, Sandeep
Kumar, Roshan
Yadav, Arvind R
Amponsah, Evans
Singh, Prasanna K
Keywords: Damage detection
SHM
Time-frequency analysis
Wavelet
Issue Date: 2022
Publisher: 2022 2nd International Conference on Artificial Intelligence and Signal Processing, AISP 2022
Citation: pp. 1-5
Abstract: There is a damage to the health of civil structures over the time due to aging and loading effects i.e., wind,earthquakes etc. To identify these hidden damages at the earliest, some reliable damage detection techniques are required. In addition, it becomes essential to monitor the performance of structural integrity and it results in the increased life span of the structures. In this paper, the average energy entropy scheme based on the discrete wavelet transform is proposed to detect incipient damage in the structures. The measured response is first decomposed into a set of wavelet components and average energy entropy is computed. The proposed method is applied to the simulated response of the beam obtained with different crack levels, and performance is compared to the approximate entropy. The results obtained from the proposed method illustrate a consistent and reliable damage indicator in comparison with the existing method. © 2022 IEEE.
URI: https://doi.org/10.1109/AISP53593.2022.9760606
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2266
ISBN: 9781665442909
Appears in Collections:Conference Papers

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