Diagnostic and prognostic became key activities in industry 4.0. This paper presents the design and validation of a low-cost and self-powered sensor for condition monitoring of a mechanical speed variator. This sensor can be easily coupled with commercial sin/cos sensors and used to plan a predictive maintenance policy. Specifically to the speed variator, thanks to the two sin/cos sensors mounted on the two shafts, the elasto-plastic deformation of the entire kinematic system can be estimated and predictive maintenance can be scheduled.
2-D FEA Design of a Low-Cost and Self-Powered Sin/Cos Sensor / Bianchini, Claudio; Torreggiani, Ambra; Sala, Giada; Sala, Andrea; Giannotta, Nicola; Davoli, Matteo. - (2024), pp. 1-7. (Intervento presentato al convegno 2024 International Conference on Electrical Machines, ICEM 2024 tenutosi a ita nel 2024) [10.1109/ICEM60801.2024.10700587].
2-D FEA Design of a Low-Cost and Self-Powered Sin/Cos Sensor
Claudio Bianchini;Ambra Torreggiani;Giada Sala;Nicola Giannotta;
2024
Abstract
Diagnostic and prognostic became key activities in industry 4.0. This paper presents the design and validation of a low-cost and self-powered sensor for condition monitoring of a mechanical speed variator. This sensor can be easily coupled with commercial sin/cos sensors and used to plan a predictive maintenance policy. Specifically to the speed variator, thanks to the two sin/cos sensors mounted on the two shafts, the elasto-plastic deformation of the entire kinematic system can be estimated and predictive maintenance can be scheduled.
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