P46 - Soft Sensor Approach to Detect Failures in Circuit Breaker Components
- Event
- SMSI 2025
2025-05-06 - 2025-05-08
Nürnberg - Band
- Poster
- Chapter
- Poster Session
- Author(s)
- M. Fuhrländer, J. Gebhardt, H. Rahmeh, A. Boyaci - ABB AG, Mannheim (Germany)
- Pages
- 323 - 324
- DOI
- 10.5162/SMSI2025/P46
- ISBN
- 978-3-910600-06-5
- Price
- free
Abstract
A digital twin for circuit breaker monitoring has been developed, focusing on the trip coil and adjacent mechanisms. The twin is based on a fast-to-evaluate system of ordinary differential equations (ODEs). It works as a soft sensor which integrates measurements of observable quantities (e.g. current, force) and parameter identification algorithms. The approach allows to infer the drift of non-measurable quantities such as damping. This gives new options for predictive maintenance and increased reliability of circuit breakers. Calculational results demonstrate the digital twin’s effectiveness in real-time monitoring and fault detection.