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Monitoring Anything Everywhere Towards Industry 4.0

According to the concept of Industry 4.0, the industrial machines will become Cyber-Physical Systems (CPS) integrated into the global network. For this to happen through sensors, embedded intelligence and machine learning algorithms are needed. Respectively, relevant real time and on-site monitoring sensors and data interpretation methods are fundamentally important. Successful applications should involve both: Process monitoring/analysis and preventive maintenance.

The main objective of MAETI4.0 project is to merge different domains of Industry 4.0 in order to develop a novel, smart and interconnected technology capable of providing a continuous monitoring of the performance and functioning of industrial machinery preventing the insurgence of critical malfunctioning. By the combination of sensors and an Artificial Intelligence data management system, this innovation has a crucial economic and social impact. In fact, reducing downtime of manufacturing machines could save to the companies over 250,000 Euro per hour and sensibly increase the safety of the operators. Since every single industrial machine generates mechanical loads at operation, a set of displacements (deformations), also said fingerprint, is a universal attribute of the machine status, regardless of the particular use. As the displacement fingerprint of every equipment reflects its momentary operating condition, new proposed method is applicable to all industrial machines. Despite, different machines’ elements respond differently on process parameters (temperature, pressure, humidity, loading, etc.), the currently used multi-parameter monitoring can be substituted by monitoring of multiple specific local displacements, when machine learning algorithms are involved. The new method, based on local displacements fingerprints only, will trace a pathway towards enabling of an “universal” industrial performance monitoring approach. Through this, a breakthrough in the field of monitoring will be attained.




Project type



Project budget

(IoT4industry funding): 90 000 €


Project end date

(estimated): October 2020


Partners involved

Logo / Website Name Type Country Region
Astel Srl SME Italy ITC – NORD-OVEST
AMG Technology Ltd SME Bulgaria BG4 – South-West & South-Central


Vertical sector addressed

  • electronics

Industrial application addressed

  • Predictive maintenance
  • Monitoring & Control

Technologies involved

  • IoT & wearables
  • Big Data & AI


Contact Project Coordinator

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