Published March 31, 2022
| Version v1
Software
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Digital Twin For Industrial Faults Predictive Maintenance
Description
A data analytics module that, leveraging Machine Learning techniques, processes all the data received from shopfloor to identify potential faults.
Associated functionalities:
Consuming data produced from the shopfloor
- Subscribing and listening the data streams produced from the shopfloor
Performing an analysis aimed at identifying a possible failure or imminent malfunction
- Training of the adopted ML algorithm
- Use of Linear Support Vector Machine algorithm, which performs binary classification leveraging a supervised training set.
Files
Files
(195.8 kB)
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