Digital Twin For Industrial Faults Predictive Maintenance

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.