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 …

Intelligent fault diagnostic system for rotating machinery based on IoT with cloud computing and artificial intelligence techniques: a review

M Maurya, I Panigrahi, D Dash, C Malla - Soft Computing, 2024 - Springer
The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

Vibration characteristics and condition monitoring of internal radial clearance within a ball bearing in a gear-shaft-bearing system

M Xu, Y Han, X Sun, Y Shao, F Gu, AD Ball - Mechanical Systems and …, 2022 - Elsevier
Internal radial clearance is a key factor influencing bearing fatigue life. Moreover, bearings
inevitably suffer from various wears and tears, which result in gradual increase of clearance …

[HTML][HTML] Review of medium-voltage switchgear fault detection in a condition-based monitoring system by using deep learning

YAM Alsumaidaee, CT Yaw, SP Koh, SK Tiong… - Energies, 2022 - mdpi.com
In power energy distribution networks, switchgear is considered critical equipment. This is
because the act of monitoring the operation and condition of switchgear, as well as …

[HTML][HTML] Miniterm, a novel virtual sensor for predictive maintenance for the industry 4.0 era

E Garcia, N Montés, J Llopis, A Lacasa - Sensors, 2022 - mdpi.com
This article introduces a novel virtual sensor for predictive maintenance called mini-term. A
mini-term can be defined as the time it takes for a part of the machine to do its job. Being a …

Review of condition-based maintenance strategies for offshore wind energy

J Kang, J Sobral, CG Soares - Journal of Marine Science and Application, 2019 - Springer
The existing maintenance strategies of offshore wind energy are reviewed including the
specific aspects of condition-based maintenance, focusing on three primary phases, namely …

Vibration analysis process based on spectrogram using gradient class activation map with selection process of CNN model and feature layer

Y Yoo, S Jeong - Displays, 2022 - Elsevier
This paper presents a vibration analysis process using a convolutional neural network
(CNN) model and a gradient class activation map (Grad-CAM), based on a model and …

Micro‐structuration of piezoelectric composites using dielectrophoresis: toward application in condition monitoring of bearings

G d'Ambrogio, O Zahhaf, Y Hebrard… - Advanced …, 2021 - Wiley Online Library
Piezoelectric soft material based on inorganic/organic composites suitable for aerospace
and aeronautical monitoring sensors is fabricated. The designed material is a piezoelectric …

Data-driven fault detection process using correlation based clustering

YJ Yoo - Computers in Industry, 2020 - Elsevier
This paper presents an algorithm for the fault detection process using correlation based
clustering. Conventional clustering-based fault detection calculates the fault index through …

[HTML][HTML] Fault detection and severity level identification of spiral bevel gears under different operating conditions using artificial intelligence techniques

SM Tayyab, S Chatterton, P Pennacchi - Machines, 2021 - mdpi.com
Spiral bevel gears are known for their smooth operation and high load carrying capability;
therefore, they are an important part of many transmission systems that are designed for …