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Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism
Nowadays, acoustic and vibration signals have been widely used to detect crack and its
degree on compressor blades for non-destructive evaluation and structural health …
degree on compressor blades for non-destructive evaluation and structural health …
A novel acceleration-based approach for monitoring the long-term displacement of bridge cables
The cables of the long-span bridge are usually featured as ultra-low frequency, hence
making the acceleration unable to accurately capture the information, eg dam** ratios, for …
making the acceleration unable to accurately capture the information, eg dam** ratios, for …
Train-induced dynamic behavior and fatigue analysis of cable hangers for a tied-arch bridge based on vector form intrinsic finite element
This paper presents train-induced dynamic response and fatigue damage analyses for the
hangers of a tied-arch railway bridge. A train–bridge interaction analysis is carried out using …
hangers of a tied-arch railway bridge. A train–bridge interaction analysis is carried out using …
[HTML][HTML] A new damage indicator based on homogeneity and wireless accelerometers for evaluating the structural condition of a cable-stayed bridge
Structural health monitoring is crucial to avoid devastating human and economic losses,
mainly for large and high-demanding structures as the case of vehicular bridges. In this …
mainly for large and high-demanding structures as the case of vehicular bridges. In this …
Research on an improved non-destructive detection method for the soluble solids content in bunch-harvested grapes based on deep learning and hyperspectral …
J Zhao, Q Hu, B Li, Y **e, H Lu, S Xu - Applied Sciences, 2023 - mdpi.com
Featured Application Non-destructive detection and quality grading of the internal quality of
grapes after harvest. Abstract The soluble solids content (SSC) is one of the important …
grapes after harvest. Abstract The soluble solids content (SSC) is one of the important …
Convolutional neural network-based methodology for detecting, locating and quantifying corrosion damage in a truss-type bridge through the autocorrelation of …
Corrosion degrades the performance of any civil structure. This work proposes a
methodology based on the autocorrelation of vibration signals, a data treatment stage, and a …
methodology based on the autocorrelation of vibration signals, a data treatment stage, and a …
A new technique for calculating the effective length factor of the tower in cable-stayed bridge
H Kang, D Qian, X Su, X Zhang… - International Journal of …, 2023 - World Scientific
The stability issues of the tower column (hereinafter referred to as 'tower') in the cable-stayed
bridge are studied in this paper. Two types of cable-stayed bridges are considered, namely …
bridge are studied in this paper. Two types of cable-stayed bridges are considered, namely …
Robust vibration output-only structural health monitoring framework based on multi-modal feature fusion and self-learning
Output-only structural health monitoring is a highly active research direction because it is a
promising methodology for building digital twin applications providing near-real-time …
promising methodology for building digital twin applications providing near-real-time …
[HTML][HTML] Comparative Analysis of Fractals-Homogeneity-Entropy Algorithms Applied on a FEM Bridge Model to Identify Damage
Vehicular bridges accumulate damage over time due to overloads and material degradation.
Non-visible structural damage in such large structures poses a serious risk, as small defects …
Non-visible structural damage in such large structures poses a serious risk, as small defects …
Optimal placement and sizing of distributed generators based on equilibrium optimizer
W Zhang, S Wang - Frontiers in Energy Research, 2022 - frontiersin.org
To solve the problems of environmental pollution and energy consumption, there is an
urgent need to develop clean and renewable energy to maintain the sustainable …
urgent need to develop clean and renewable energy to maintain the sustainable …