Learning methods for structural damage detection via entropy‐based sensors selection-Reference-Cited by-同舟云学术

Learning methods for structural damage detection via entropy‐based sensors selection

Published:2022-03-29 Issue:10 Volume:32 Page:6035-6067
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Intl J Robust & Nonlinear

Author:

Smarra Francesco¹^ORCID,Tjen Jimmy¹,D'Innocenzo Alessandro¹

Affiliation:

1. Department of Information Engineering, Computer Science and Mathematics Università degli Studi dell'Aquila L'Aquila Italy

Funder

European Commission

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.6124

Reference61 articles.

1. Structural Health Monitoring Framework Based on Internet of Things: A Survey

2. Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey

3. Application of frequency domain ARX models and extreme value statistics to damage detection;Fasel TR;Smart Struct Mater 2003 Smart Syst Nondestruct Eval Civil Infrastruct,2003

4. Data-based structural health monitoring using small training data sets

5. Application of ARMAV models to the identification and damage detection of mechanical and civil engineering structures

Cited by 8 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. Learning Piecewise ARX Models via Regression Trees with Probabilistic Guarantees;2024 European Control Conference (ECC);2024-06-25

2. Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems;Journal of Computing and Information Science in Engineering;2024-06-07

3. Robust adaptive Kalman filter for structural performance assessment;International Journal of Robust and Nonlinear Control;2024-03-09

4. Electric Power Consumption Prediction from Scarce Dataset with Entropy-Based Subset Selection Regression Tree (e-ss RT);2023 14th International Conference on Information & Communication Technology and System (ICTS);2023-10-04

5. Understanding Human Daily Activity Pattern Inside a Structure Via Power Consumption Modeling;2023 14th International Conference on Information & Communication Technology and System (ICTS);2023-10-04