Guided wave based structural health monitoring: A review

M Mitra, S Gopalakrishnan - Smart Materials and Structures, 2016 - iopscience.iop.org
The paper provides a state of the art review of guided wave based structural health
monitoring (SHM). First, the fundamental concepts of guided wave propagation and its …

Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances

Y Yang, Z Peng, W Zhang, G Meng - Mechanical Systems and Signal …, 2019 - Elsevier
It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

A water quality prediction method based on the deep LSTM network considering correlation in smart mariculture

Z Hu, Y Zhang, Y Zhao, M **e, J Zhong, Z Tu, J Liu - Sensors, 2019 - mdpi.com
An accurate prediction of cage-cultured water quality is a hot topic in smart mariculture.
Since the mariculturing environment is always open to its surroundings, the changes in …

A multi-response-based wireless impact monitoring network for aircraft composite structures

S Yuan, Y Ren, L Qiu, H Mei - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
Composite structures may be subjected to internal damages caused by impact events, which
can seriously degrade the property of the structures. Hence, impact monitoring is of great …

Occupant localization using footstep-induced structural vibration

M Mirshekari, S Pan, J Fagert, EM Schooler… - … Systems and Signal …, 2018 - Elsevier
In this paper, we present an occupant localization approach through sensing footstep-
induced floor vibrations. Occupant location information is an important part of many smart …

A brief review of structural health monitoring based on flexible sensing technology for hydrogen storage tank

G Chi, S Xu, D Yu, Z Wang, Z He, K Wang… - International Journal of …, 2024 - Elsevier
Hydrogen has become a popular alternative energy to traditional fossil fuels due to its
potential to contribute to a more sustainable future. It is recognized that the safety, efficiency …

Deep learning approaches for robust time of arrival estimation in acoustic emission monitoring

F Zonzini, D Bogomolov, T Dhamija, N Testoni… - Sensors, 2022 - mdpi.com
In this work, different types of artificial neural networks are investigated for the estimation of
the time of arrival (ToA) in acoustic emission (AE) signals. In particular, convolutional neural …

Impact localization with a weighted spectral cross correlation method

W Jiang, L Du, Z Luo, Z Wang, H Song - Aerospace Science and …, 2022 - Elsevier
The impact localization is a typical inverse problem to identify the damage source of
structures. To overcome the positioning problems of the low resolution caused by sparse …

Emergence of machine learning techniques in ultrasonic guided wave-based structural health monitoring: a narrative review

A Sattarifar, T Nestorović - International Journal of …, 2022 - papers.phmsociety.org
Identification of damage in its early stage can have a great contribution in decreasing the
maintenance costs and prolonging the life of valuable structures. Although conventional …

Sparse and dispersion-based matching pursuit for minimizing the dispersion effect occurring when using guided wave for pipe inspection

J Rostami, PWT Tse, Z Fang - Materials, 2017 - mdpi.com
Ultrasonic guided wave is an effective tool for structural health monitoring of structures for
detecting defects. In practice, guided wave signals are dispersive and contain multiple …