Abstract
The main objective of this project is to apply new techniques based on eXplainable Deep Fuzzy Learning for the detection of fatigue and predictive maintenance of rotary elements in Industry 4.0 based on their vibrations collected by multiple low-power and low- cost IIoT devices. This approach will allow not only to predict future failures in rotary elements, but also to explain the causes.
Funding: 23.300,00 €
Funding body
The XDeep project has been supported by the TETRAMAX Project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 761349.
Dates:
August, 2020
April, 2021