Digital twin-driven remaining useful life prediction for gear performance degradation: A review

B He, L Liu, D Zhang - Journal of Computing and …, 2021 - asmedigitalcollection.asme.org
As a transmission component, the gear has been obtained widespread attention. The
remaining useful life (RUL) prediction of gear is critical to the prognostics health …

A review on diagnostic and prognostic approaches for gears

P Kundu, AK Darpe… - Structural Health …, 2021 - journals.sagepub.com
Prognostics and health management has become a significant part of component life-cycle
in modern industries. The prognostics and health management framework is implemented in …

Development of a statistical reliability-based model for the estimation and optimization of a spur gear system

D Aikhuele - Journal of Computational and Cognitive …, 2023 - ojs.bonviewpress.com
In this paper, a statistical model which is based on the stress-strength theorem, has been
proposed for the estimation and optimization of spur gear systems embedded (running) in a …

Uncertainty quantification in fatigue crack-growth predictions

V Giannella - International Journal of Fracture, 2022 - Springer
The reliability of the damage tolerance approach to engineering design is affected by
numerous sources of uncertainty that can lead to unsafe predictions, in turn jeopardizing the …

Gearbox fault diagnostics using deep learning with simulated data

O Gecgel, S Ekwaro-Osire, JP Dias… - … on prognostics and …, 2019 - ieeexplore.ieee.org
Transmission components are prone to fatigue damage due to high and intermittent loading
cycles, that cause premature failure of gearboxes. Recently, several vibration-based …

[HTML][HTML] Neural networks for fatigue crack propagation predictions in real-time under uncertainty

V Giannella, F Bardozzo, A Postiglione… - Computers & …, 2023 - Elsevier
Crack propagation analyses are fundamental for all mechanical structures for which safety
must be guaranteed, eg as for the aviation and aerospace fields. The estimation of life for …

Machine learning in crack size estimation of a spur gear pair using simulated vibration data

O Gecgel, S Ekwaro-Osire, JP Dias, A Nispel… - Proceedings of the 10th …, 2019 - Springer
Gears are the main components of power transmissions and are subjected to high cyclic
load regime which can lead to premature fracture of the gear teeth. In order to prevent such …

Condition monitoring of gearbox components using deep learning with simulated vibration data

O Gecgel - 2019 - ttu-ir.tdl.org
Transmission components in a gearbox are prone to premature fatigue damage due to high
and intermittent loading cycles. Early fault diagnostics of these components is essential to …

Bi-level hybrid uncertainty quantification in fatigue analysis: SN curve approach

RBP Nonato - Frattura ed Integrità Strutturale, 2020 - fracturae.com
Due to its physical complexity, fatigue phenomenon inherently presents a significant number
of uncertain parameters to be predicted. In uncertainty quantification (UQ), research has …

Analysis of dynamic properties and vibration comfort of large-scale stands

Z Li, Q Zhang, F Fan, S Shen - Building Research & Information, 2020 - Taylor & Francis
Large grandstands provide areas for human activities and leisure pursuits. The degree of
vibration comfort for people has an important effect on the functionality of grandstands. In …