DIAMANTE: DIAgnostica 4.0 ed e-MAiNTEnance

DIAMANTE: DIAgnostica 4.0 ed e-MAiNTEnance

The project involves the use of a collaborative industrial robot to perform the positioning of a vibration sensor on mechanical components (eg gear reducers) during the final production verification phase. The vibration sensor signal is then acquired and analyzed by means of state-of-the-art diagnosis algorithms, allowing to identify workpiece defects even of minimal entity (dents, pitting, etc.) and not manually detectable by the operators of the production plant.
The developed robotic system allows:
i) reduce the human operator load during production monitoring, diagnosis and quality control;
ii) reduce vibration sensor positioning times, allowing its use for testing every single produced part;
iii) ensure the repeatability of the measure;
iv) perform rapid and effective quality control, aimed at achieving zero-defect production.
Italy


DIAMANTE: DIAgnostica 4.0 ed e-MAiNTEnance

Marcello Bonfè, Emiliano Mucchi, Federico Contro, Alessio Sozzi

Marcello Bonfè is Assistant Professor of Automatic Control at the Department of Engineering of the University of Ferrara. His main research activities are: motion planning and control of industrial and surgical robots; fault diagnosis in dynamic processes using analytical and model-based techniques; design and verification of logic control systems.
Emiliano Mucchi is Associate Professor of Applied Mechanics at the Department of Engineering of the University of Ferrara. His main research activities are in the field of Noise and Vibrations of Machines, with particular reference to elastodynamic models, condition monitoring, diagnostics and experimental vibration measurements.


Stand C6 (pav. 9) - MechLav - Tecnopolo dell'Università di Ferrara

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