Identifying the presence of structural damage: A statistical hypothesis testing approach combined with residual strain energy-Reference-Cited by-同舟云学术

Identifying the presence of structural damage: A statistical hypothesis testing approach combined with residual strain energy

Published:2020-06 Issue: Volume:140 Page:106655
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Wang Shuqing,Wang Haoyu^ORCID,Xu Mingqiang^ORCID,Guo Jian

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference41 articles.

1. Damage detection in offshore jacket platforms with limited modal information using the damage submatrices method;Pérez;Mar. Struct.,2017

2. Closing the gap between research and industrial deployment;Cawley;Struct. Health Monit.,2018

3. Vibration-based damage detection in a wind turbine using 1 year of data;Oliveira;Struct. Control Health Monit.,2018

4. Transmissibility-based system identification for structural health monitoring: fundamentals, approaches, and applications;Yan;Mech. Syst. Signal Process.,2019

5. Deep learning and its applications to machine health monitoring;Zhao;Mech. Syst. Signal Process.,2019

Cited by 12 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. An active learning Kriging-based Bayesian framework for probabilistic structural model exploration;Journal of Sound and Vibration;2024-09

2. Detection of wind turbine blade abnormalities through a deep learning model integrating VAE and neural ODE;Ocean Engineering;2024-06

3. New bifurcation diagrams based on hypothesis testing: Pseudo-periodic surrogates with correlation dimension as discriminating statistic;Mechanical Systems and Signal Processing;2023-03

4. Damage detection of offshore fixed structures using low-rank filter and cointegration analysis;Ocean Engineering;2022-11

5. Structural damage detection using low-rank matrix approximation and cointegration analysis;Engineering Structures;2022-09