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. 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.
PRODUCT DEVELOPED IN THE FRAMEWORK OF A FUNDED PROJECT
Project Acronym and Title: IoT4Industry
Funding source: H2020-INNOSUP-2016-2017
Grant Agreement Number or Funding reference: G.A. 777455