[HTML][HTML] A Bayesian non-parametric clustering approach for semi-supervised structural health monitoring

TJ Rogers, K Worden, R Fuentes, N Dervilis… - … Systems and Signal …, 2019 - Elsevier
A key challenge in Structural Health Monitoring (SHM) is the lack of availability of data from
a full range of changing operational and damage conditions, with which to train an …

Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal

B Pokharel, OF Althuwaynee, A Aydda, SW Kim, S Lim… - Landslides, 2021 - Springer
In this article, we propose and test alternative sampling strategies based on clustering
distribution concepts to increase the efficiency of the landslide susceptibility model …

Toward a Gaussian-mixture model-based detection scheme against data integrity attacks in the smart grid

X Yang, P Zhao, X Zhang, J Lin… - IEEE Internet of Things …, 2016 - ieeexplore.ieee.org
In recent years, the smart grid has been recognized as an important form of the Internet of
Things application. In the smart grid, as an energy-based cyber-physical system, the …

24-hour average PM2. 5 concentration caused by aircraft in Chinese airports from Jan. 2006 to Dec. 2023

Q Cui, Z Jia, Y Liu, Y Wang, Y Li - Scientific Data, 2024 - nature.com
Since 2006, the rapid development of China's aviation industry has been accompanied by a
significant increase in one of its emissions, namely, PM2. 5, which poses a substantial threat …

Eliminating the bridge modal variability induced by thermal effects using localized modeling method

Z Wang, TH Yi, DH Yang, HN Li, H Liu - Journal of Bridge …, 2021 - ascelibrary.org
Eliminating the bridge modal variability induced by temperature interference is crucial in
vibration-based damage detection. In this paper, a novel localized thermal–frequency …

Gaussian Mixture Random Coefficient model based framework for SHM in structures with time–dependent dynamics under uncertainty

LD Avendano-Valencia, SD Fassois - Mechanical Systems and Signal …, 2017 - Elsevier
The problem of vibration–based damage diagnosis in structures characterized by time–
dependent dynamics under significant environmental and/or operational uncertainty is …

Ultrasonic guided wave damage localization in hole-structural bearing crossbeam based on improved RAPID algorithm

F Teng, J Wei, S Lv, C Peng, L Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The hole-structural bearing crossbeam plays an important role in high-speed trains. In the
service process, however, the long-term fatigue load may lead to structural damage such as …

Active monitoring of fatigue crack in the weld zone of bogie frames using ultrasonic guided waves

J Yan, H Jin, H Sun, X Qing - Sensors, 2019 - mdpi.com
The bogie frame is an important structure of railway vehicles, transmitting the traction,
braking force, lateral force, and vertical force during the traction operation. With the …

Structural health monitoring in aviation: a comprehensive review and future directions for machine learning

F Kosova, Ö Altay, HÖ Ünver - Nondestructive Testing and …, 2024 - Taylor & Francis
Aircraft structures are exposed to a variety of operational and environmental loads that can
cause structural deformation and fractures. Structural Health Monitoring (SHM) has emerged …

A pzt based on-line updated guided wave-gaussian process method for crack evaluation

S Yuan, H Wang, J Chen - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
An essential procedure for fatigue crack evaluation based on structural health monitoring is
to establish the mapping relationship between structural health monitoring signal features …