D5.2 Use of Adaptive Learning Algorithms in Linear Position Measurement Applications
- Event
- SMSI 2021
2021-05-03 - 2021-05-06
digital - Band
- SMSI 2021 - Measurement Science
- Chapter
- D5 Deep Learning and Artificial Intelligence in Measurement
- Author(s)
- A. Voss, A. Bartos - TE Connectivity Sensors Germany GmbH, Dortmund (Germany)
- Pages
- 264 - 265
- DOI
- 10.5162/SMSI2021/D5.2
- ISBN
- 978-3-9819376-4-0
- Price
- free
Abstract
The advancing digitalization of manufacturing (“smart factories”) will create a high demand of position sensors. Besides environmental monitoring, position sensing will play a key role in future production processes. In summary, position measurement needs to become modular and scalable to different sensing dimensions with demanding accuracy requirements. xMR (magneto-resistive) technologies can give answers to achieve adaptive sensor systems under the objective of finding an optimum application solution in terms of performance, size and price.