PROGNOSTIC HYBRID MODEL FROM DATA FUSION ON MACHINE TOOLS |
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| Víctor Simón, Diego Galar |
- Abstract:
- This paper proposes an enhancement of RUL prediction method based on degradation trajectory tracking under the scope of machine tools. The operational condition data of the machine over time provides the potential degradation state at the next estimation iteration step, based on data-driven techniques. The model-based approach is considered as long-term prognostics method assuming that a physical model describing the degradation behaviour is available. Fusing the aforementioned techniques outputs a hybrid model for RUL estimation.
- Keywords:
- RUL, trajectory tracking, hybrid model
- Download:
- IMEKO-WC-2015-TC10-242.pdf
- DOI:
- -
- Event details
- Event name:
- XXI IMEKO World Congress
- Title:
Measurement in Research and Industry
- Place:
- Prague, CZECH REPUBLIC
- Time:
- 30 August 2015 - 04 September 2015