State-of-the-art review on advancements of data mining in structural health monitoring

M Gordan, SR Sabbagh-Yazdi, Z Ismail, K Ghaedi… - Measurement, 2022 - Elsevier
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …

[HTML][HTML] Recent developments in damage identification of structures using data mining

M Gordan, HA Razak, Z Ismail… - Latin American Journal of …, 2017 - SciELO Brasil
Civil structures are usually prone to damage during their service life and it leads them to loss
their serviceability and safety. Thus, damage assessment can guarantee the integrity of …

Optimal placement of triaxial accelerometers using hypotrochoid spiral optimization algorithm for automated monitoring of high-rise buildings

S Mahjoubi, R Barhemat, Y Bao - Automation in Construction, 2020 - Elsevier
Optimal sensor placement aims to use a limited number of sensors to obtain as much
information about a structure as possible. This study investigates the optimal placement of …

A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning

MS Dizaji, Z Mao, M Haile - Mechanical Systems and Signal Processing, 2023 - Elsevier
This paper leverages each pixel of a picture acquired from a video camera, in which
structural dynamic information is contained, in order to decompose spatiotemporal …

Robust optimal sensor placement for uncertain structures with interval parameters

C Yang, Z Lu, Z Yang - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
This paper proposes a robust optimal sensor placement method for structural health
monitoring considering uncertainty. To avoid the deficiencies associated with scarce …

Optimal sensor placement for deployable antenna module health monitoring in SSPS using genetic algorithm

C Yang, X Zhang, X Huang, ZA Cheng, X Zhang, X Hou - Acta Astronautica, 2017 - Elsevier
The concept of space solar power satellite (SSPS) is an advanced system for collecting solar
energy in space and transmitting it wirelessly to earth. However, due to the long service life …

Multi‐objective optimization of sensor and excitation layouts for frequency response function‐based structural damage identification

AM Raich, TR Liszkai - Computer‐Aided Civil and Infrastructure …, 2012 - Wiley Online Library
The accuracy of many damage identification methods depends significantly on the quality of
measurements collected by sensors, such as accelerometers, concerning the response …

Sensor placement for structural health monitoring using hybrid optimization algorithm based on sensor distribution index and FE grids

C Yang - Structural Control and Health Monitoring, 2018 - Wiley Online Library
Considering the adjustments for sensor selections attributed by different finite element (FE)
grids, a hybrid optimization algorithm including FE grids updating for optimal sensor …

Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects

Y Wang, Y Chen, Y Yao, J Ou - Buildings, 2023 - mdpi.com
Structural health monitoring (SHM) is critical to maintaining safe and reliable civil
infrastructure, but the optimal design of an SHM sensing system, ie, optimal sensor …

Hole quality geometrical measurement and surface roughness for α-Phase titanium alloy (α-Ti-6Al-4V) materials by using L-PBF (laser powder bed fusion) orthopedic …

M Marichamy, K Chockalingam, N Arunachalam - Measurement, 2025 - Elsevier
This study examines the quality of circular-hole 3D-printed objects using laser powder bed
fusion (L-PBF) on Ti-6Al-4V titanium alloy that typically used for orthopedic implants …