Physics-informed machine learning for measurement error correction in elastomer-based sensor systems (piml-lse-errco)
In the last few years Angst+Pfister has developed an innovative, elastomer-based sensor system that integrates force measurement into anti-vibration elements. Challenges remain regarding drift and hysteresis, the mechanisms and potential solutions for which are investiagted in this deep dive R&D effort.
Key Data
Projectlead
Deputy Projectlead
Project team
Project status
ongoing, started 01/2025
Funding partner
Other
Project budget
20'000 CHF