PROGNOSTIC HYBRID MODEL FROM DATA FUSION ON MACHINE TOOLS

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

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IMEKO-WC-2015-TC10-242.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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