A data-driven approach based on wavelet analysis and deep learning for identification of multiple-cracked beam structures under moving load
TQ Nguyen, LC Vuong, CM Le, NK Ngo… - Measurement, 2020 - Elsevier
This article aims to identify multiple cracks of a structure under the act of moving load by
using wavelet analysis based on displacement signal. Among many researches on this …
using wavelet analysis based on displacement signal. Among many researches on this …
A review of structural health monitoring and damage detection using wavelet transform: The case study of damage detection in cantilever beams
O Rezaifar, M Gholhaki, M Khanahmadi… - Journal of Vibration and …, 2022 - jvs.isav.ir
Structures suffer local damages due to various reasons. If these damages are not identified,
they could be aggravated by natural disasters such as earthquakes or artificial factors such …
they could be aggravated by natural disasters such as earthquakes or artificial factors such …
A data-driven approach to structural health monitoring of bridge structures based on the discrete model and FFT-deep learning
TQ Nguyen - Journal of Vibration Engineering & Technologies, 2021 - Springer
In this paper, we investigate changes in the mechanical properties of complex structures
using a combination of the discrete model, Fast Fourier Transform (FFT) analysis and deep …
using a combination of the discrete model, Fast Fourier Transform (FFT) analysis and deep …
Damage detection in beam structures using bayesian deep learning and balancing composite motion optimization
TQ Nguyen - Structures, 2022 - Elsevier
This research proposes a new indicator based on change in a vibration signal's probability
spectrum centre to assess structural change. It relies on the change of a central position of …
spectrum centre to assess structural change. It relies on the change of a central position of …
Dynamic investigation of FRP cracked beam using neural network technique
Purpose In the present investigation, vibration signatures have been used for identifying the
place of crack and depth in pre-cracked FRP beams. Bidirectional (woven) FRP composite …
place of crack and depth in pre-cracked FRP beams. Bidirectional (woven) FRP composite …
Non-probabilistic wavelet method to consider uncertainties in structural damage detection
In vibration-based damage detection studies, researchers have shown that wavelet
transform (WT) is an effective tool for detecting damage. However, structural damage …
transform (WT) is an effective tool for detecting damage. However, structural damage …
Dynamic study of composite cracked beam by changing the angle of bidirectional fibres
Composite beam type structures fail in the presence of cracks. While in use the crack depth
gradually increases, the structural stiffness decreases and as a result the beam becomes …
gradually increases, the structural stiffness decreases and as a result the beam becomes …
Time-frequency signal analysis in machinery fault diagnosis
Growing demand of machines such as gas turbine, pump, and compressor in power
generation, aircraft, and other fields have yielded the transformation of machine …
generation, aircraft, and other fields have yielded the transformation of machine …
Bearing fault online identification based on ANFIS
Effectiveness of online bearing status monitoring (OBSM) depends deeply on the online
data processing ability and the sensitivity of data features used to recognize the mechanical …
data processing ability and the sensitivity of data features used to recognize the mechanical …
Algorithm for estimating online bearing fault upon the ability to extract meaningful information from big data of intelligent structures
Bearing is an important machine detail that appears in almost all mechanical systems.
Estimating its operating condition online in order to hold the initiative in exploiting the …
Estimating its operating condition online in order to hold the initiative in exploiting the …