6403216
doi
10.5281/zenodo.6403216
oai:zenodo.org:6403216
user-eu
Valerio Pulcini
STIIMA-CNR
Digital Twin For Industrial Faults Predictive Maintenance
Gianfranco E Modoni
STIIMA-CNR
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Digital Twin
Predictive Maintenance
Middleware
Machine Learning
<p>A <strong>data analytics module</strong> that, leveraging Machine Learning techniques, processes all the data received from shopfloor to identify potential <strong>faults</strong>.</p>
<p>Associated functionalities:</p>
<p><strong>Consuming data produced from the shopfloor</strong></p>
<ul>
<li>Subscribing and listening the data streams produced from the shopfloor</li>
</ul>
<p><strong>Performing an analysis aimed at identifying a possible failure or imminent malfunction </strong></p>
<ul>
<li>Training of the adopted ML algorithm</li>
<li>Use of Linear Support Vector Machine algorithm, which performs binary classification leveraging a supervised training set.</li>
</ul>
Zenodo
2022-03-31
info:eu-repo/semantics/other
6403215
user-eu
award_title=Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs; award_number=952003; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/952003; funder_id=00k4n6c32; funder_name=European Commission;
1694026895.389569
195792
md5:884e4b4d1b9bf00acf1aa90272b27d90
https://zenodo.org/records/6403216/files/FaultsPredictiveMaintenance.7z
public
10.5281/zenodo.6403215
isVersionOf
doi