xDeep Neuro IIoT 4.0: eXplainable Deep NeuroFuzzy Learning for fatigue detection and predictive maintenance in Industry 4.0 using low-power IIoT devices

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.

AIR Institute
Technická diagnostika


TETRAMAX is a Horizon 2020 innovation action within the European Smart Anything Everywhere (SAE) initiative in the domain of customized and low-energy computing for Cyber Physical Systems and the Internet of Things. As a Digital Innovation Hub, TETRAMAX aims to bring added value to European industry, helping to gain competitive advantage through faster digitization. The project partially builds on experiences with the TETRACOM project during 2013-2016. TETRAMAX was launched in Sep 2017 and runs until Aug 2021.