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Model-based condition monitoring of guiding rails in electro-mechanical systems
Journal Contribution - Journal Article
This paper presents a model-based approach for the condition monitoring of guiding rails in vertical transportation systems. A physics-based model of the system is used to estimate friction forces by means of anaugmented Extended Kalman Filter (EKF). This estimation is compared to the friction predicted by a moredetailed model of the system. This comparison, gives a first quantitative knowledge of the condition of thesystem. The difference between the estimated and the expected friction is continuously tracked, allowingan early assessment of the system’s degradation. The method is validated using an scaled test bench of avertical transportation system. It is shown that, using only off-the-shelf sensors, a model-based approachcould simplify the condition monitoring of guiding rails, which generally requires costly and complex devices.
Journal: Mechanical Systems and Signal Processing
Pages: 630 - 641