A4.3 - Concept of a Self-X Sensory System and its first implementation on an XMR-based Angular Decoder Demonstrator
- Event
- SMSI 2023
2023-05-08 - 2023-05-11
Nürnberg - Band
- Lectures
- Chapter
- A4 - Smart Sensors
- Author(s)
- E. Gerken, A. König - Technische Universität Kaiserslautern, Kaiserslautern (Germany)
- Pages
- 57 - 58
- DOI
- 10.5162/SMSI2023/A4.3
- ISBN
- 978-3-9819376-8-8
- Price
- free
Abstract
The methodology and case study presented in this article reveals the impact of self-X properties on long-term system reliability. The studies were conducted on the data received from XMR-based angular decoders used as a demonstration setup and Red Pitaya platform used for real-time measurement. A new approach inspired by the biological immune system was explored to detect anomalies and novelties in the field of one-class classification (OCC) XMR sensor properties. The accuracy of the proposed methodology was 96.2 %. Due to the implementation of the self-X (self-healing, self-calibration, self-repairing, etc.) properties, it is possible to increase the efficiency of the physical demonstrator by maintaining satisfactory system performance, despite the defects that occur during the operation.