Vibration feature extraction using signal processing techniques for structural health monitoring: A review

C Zhang, AA Mousavi, SF Masri, G Gholipour… - … Systems and Signal …, 2022 - Elsevier
Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

O Avci, O Abdeljaber, S Kiranyaz, M Hussein… - Mechanical systems and …, 2021 - Elsevier
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …

Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection

L Sun, Z Shang, Y **a, S Bhowmick… - Journal of Structural …, 2020 - ascelibrary.org
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

Machine learning algorithms in civil structural health monitoring: A systematic review

M Flah, I Nunez, W Ben Chaabene… - Archives of computational …, 2021 - Springer
Abstract Applications of Machine Learning (ML) algorithms in Structural Health Monitoring
(SHM) have become of great interest in recent years owing to their superior ability to detect …

State of the art in structural health monitoring of offshore and marine structures

H Pezeshki, H Adeli, D Pavlou… - Proceedings of the …, 2023 - icevirtuallibrary.com
This paper deals with state of the art in structural health monitoring (SHM) methods in
offshore and marine structures. Most SHM methods have been developed for onshore …

A critical review on structural health monitoring: Definitions, methods, and perspectives

VR Gharehbaghi, E Noroozinejad Farsangi… - … methods in engineering, 2022 - Springer
The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …

Recent advances in damage detection of wind turbine blades: A state-of-the-art review

P Kaewniam, M Cao, NF Alkayem, D Li… - … and Sustainable Energy …, 2022 - Elsevier
Wind turbine structures are key components for modern transformation into free energy and
greener environment. In recent years, a rapid growth in the development and installation of …

Damage detection techniques for wind turbine blades: A review

Y Du, S Zhou, X **g, Y Peng, H Wu, N Kwok - Mechanical Systems and …, 2020 - Elsevier
Blades play a vital role in wind turbine system performances. However, they are susceptible
to damage arising from complex and irregular loading or even cause catastrophic collapse …

Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage

Z Wang, YJ Cha - Structural Health Monitoring, 2021 - journals.sagepub.com
This article proposes an unsupervised deep learning–based approach to detect structural
damage. Supervised deep learning methods have been proposed in recent years, but they …

Recent progress of chatter prediction, detection and suppression in milling

L Zhu, C Liu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Machining chatter has been studied by scholars over the past decades, since chatter has a
significant impact on surface quality and productivity. Researchers have carried out …