A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring

S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …

A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)

P Ghannadi, SS Kourehli, S Mirjalili - Frattura ed Integrità Strutturale, 2023 - fracturae.com
In recent years, many innovative optimization algorithms have been developed. These
algorithms have been employed to solve structural damage detection problems as an …

Machine learning based quantitative damage monitoring of composite structure

X Qing, Y Liao, Y Wang, B Chen, F Zhang… - International journal of …, 2022 - Taylor & Francis
Composite materials have been widely used in many industries due to their excellent
mechanical properties. It is difficult to analyze the integrity and durability of composite …

Novel self-adaptive vibration signal analysis: Concealed component decomposition and its application in bearing fault diagnosis

P Tiwari, SH Upadhyay - Journal of Sound and Vibration, 2021 - Elsevier
Abstract Rolling Elements Bearing (REB) failures are the most common reason for
breakdowns in rotating machine parts. The reduction of frequent catastrophes of such …

Piezoelectric impedance-based structural health monitoring of wind turbine structures: Current status and future perspectives

TC Le, THT Luu, HP Nguyen, TH Nguyen, DD Ho… - Energies, 2022 - mdpi.com
As an innovative technology, the impedance-based technique has been extensively studied
for the structural health monitoring (SHM) of various civil structures. The technique's …

Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications

P Balasubramanian, V Kaushik… - Structural Health …, 2023 - journals.sagepub.com
Structural health monitoring systems must provide accuracy and robustness in predicting the
structure's health using the minimum intervention to ensure commercial viability …

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

S Hassani, U Dackermann, M Mousavi, J Li - Computers & Structures, 2024 - Elsevier
The sensitivity of structural health monitoring systems to environmental and operational
conditions poses a significant challenge due to their inherent susceptibility to outliers. This …

Development of an AD5933-based impedance calibration and measurement technology using piezoceramic transducers

Z Tan, Q Feng, T Ma, J Zhang, Y Liang - Measurement, 2023 - Elsevier
AD5933 evaluation board is expected to promote the practicability of electromechanical
impedance (EMI) based structural damage identification technology. For the evaluation …

Smart Aggregate‐Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals

QB Ta, QQ Pham, NL Pham… - Structural Control and …, 2024 - Wiley Online Library
A 1‐dimensional convolutional neural network (1D CNN) model is developed to process
deep learning of raw impedance signals for smart aggregate (SA)‐based concrete stress …

Electromechanical impedance based debond localisation in a composite sandwich structure

S Sikdar, SK Singh, P Malinowski… - Journal of Intelligent …, 2022 - journals.sagepub.com
An electromechanical impedance (EMI) based structural health monitoring (SHM) approach
is proposed for the localisation of skin-core debonds in composite sandwich structure (CSS) …