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 …
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
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 …
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
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 …
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
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 …
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 …
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
The existing maintenance strategies of offshore wind energy are reviewed including the
specific aspects of condition-based maintenance, focusing on three primary phases, namely …
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
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 …
(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
Piezoelectric soft material based on inorganic/organic composites suitable for aerospace
and aeronautical monitoring sensors is fabricated. The designed material is a piezoelectric …
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 …
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
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 …
therefore, they are an important part of many transmission systems that are designed for …