2025 SMSI Bannerklein

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.

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