A Novel Feature-Based SHM Assessment and Predication Approach for Robust Evaluation of Damage Data Diagnosis Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09518-z.pdf
Reference68 articles.
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3. Wang, X., Hu, N., Fukunaga, H., & Yao, Z. H. (2001). Structural damage identification using static test data and changes in frequencies. Engineering structures, 23(6), 610–621.
4. Kirkegaard, P. H., & Rytter, A. (1992). Use of a neural network for damage detection and location in a steel member.
5. Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16–28.
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