Enhanced damage detection for noisy input signals using improved reptile search algorithm and data analytics techniques-Reference-Cited by-同舟云学术

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Enhanced damage detection for noisy input signals using improved reptile search algorithm and data analytics techniques

Published:2024-06 Issue: Volume:296 Page:107293
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Hassani Sahar,Dackermann Ulrike^ORCID,Mousavi Mohsen,Li Jianchun

Publisher

Elsevier BV

Reference56 articles.

1. Comparative analysis of signal processing techniques for impedance-based shm applications in noisy environments;de Castro;Mech Syst Signal Process,2019

2. Noise reduction for improvement of ultrasonic monitoring using coda wave interferometry on a real bridge;Wang;J Nondestruct Eval,2021

3. Vibration feature extraction using signal processing techniques for structural health monitoring: a review;Zhang;Mech Syst Signal Process,2022

4. Three decades of statistical pattern recognition paradigm for shm of bridges;Figueiredo;Struct Health Monit,2022

5. Gross outlier removal and fault data recovery for shm data of dynamic responses by an annihilating filter-based Hankel-structured robust pca method;Chen;Struct Control Health Monit,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structural Damage Detection Using Mutual Information and Improved Reptile Search Algorithm for Fused Smooth Signals Affected by Coloured Noise;Structural Control and Health Monitoring;2024-01

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