Two-stage physics-based Wiener process models for online RUL prediction in field vibration data
B Yan, X Ma, G Huang, Y Zhao - Mechanical Systems and Signal …, 2021 - Elsevier
Due to most failure mechanisms, such as fatigue crack growth and fatigue spall, the
degradation process of rotating machinery commonly exhibits two-stage features in …
degradation process of rotating machinery commonly exhibits two-stage features in …
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability
Central to structural health monitoring (SHM) is data modeling, manipulation, and
interpretation on the basis of a sophisticated SHM system. Despite continuous evolution of …
interpretation on the basis of a sophisticated SHM system. Despite continuous evolution of …
Non-contact optical dynamic measurements at different ranges: a review
Y Fu, Y Shang, W Hu, B Li, Q Yu - Acta Mechanica Sinica, 2021 - Springer
Optical dynamic measurements are widely used for non-contact vibration, continuous
deformation, or moving objects. Various measurement techniques were developed for …
deformation, or moving objects. Various measurement techniques were developed for …
Proposed numerical and machine learning models for fiber-reinforced polymer concrete-steel hollow and solid elliptical columns
This study employs a hybrid approach, integrating finite element method (FEM) simulations
with machine learning (ML) techniques to investigate the structural performance of double …
with machine learning (ML) techniques to investigate the structural performance of double …
Machine learning-based stochastic subspace identification method for structural modal parameters
D Liu, Y Bao, H Li - Engineering Structures, 2023 - Elsevier
Abstract Machine learning brings a new paradigm to the traditional structural modal
parameter identification problem. In this study, we propose a novel machine learning …
parameter identification problem. In this study, we propose a novel machine learning …
Machine learning meets compressed sensing in vibration-based monitoring
Artificial Intelligence applied to Structural Health Monitoring (SHM) has provided
considerable advantages in the accuracy and quality of the estimated structural integrity …
considerable advantages in the accuracy and quality of the estimated structural integrity …
Instantaneous spectral entropy: An application for the online monitoring of multi-storey frame structures
Damage assessment techniques based on entropy measurements have been recently
proposed for the structural health monitoring of civil structures and infrastructures. A quasi …
proposed for the structural health monitoring of civil structures and infrastructures. A quasi …
Development of a novel online chatter monitoring system for flexible milling process
D Chen, X Zhang, H Zhao, H Ding - Mechanical Systems and Signal …, 2021 - Elsevier
Regenerative chatter, a kind of undesirable self-excited vibration, has been widely found in
the milling of flexible parts due to the weak rigidity, which imposes a major limitation on …
the milling of flexible parts due to the weak rigidity, which imposes a major limitation on …
[PDF][PDF] Vibration response-based damage detection
This chapter aimed to present different data driven Vibration-Based Methods (VBMs) for
Structural Health Monitoring (SHM). This family of methods, widely used for engineering …
Structural Health Monitoring (SHM). This family of methods, widely used for engineering …
Completely non-contact modal testing of full-scale bridge in challenging conditions using vision sensing systems
Vision-based modal testing method can provide a contactless approach to understanding
dynamic properties of bridges. However, the applicability of this method to in-service bridge …
dynamic properties of bridges. However, the applicability of this method to in-service bridge …