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Degradation-level assessment and online prognostics for sliding chair failure on point machines

Atamuradov, Vepa and Medjaher, Kamal and Camci, Fatih and Dersin, Pierre and Zerhouni, Noureddine Degradation-level assessment and online prognostics for sliding chair failure on point machines. (2018) In: IFAC SAFEPROCESS 2018, August 2018 (Warsaw, Poland).

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Official URL: https://doi.org/10.1016/j.ifacol.2018.09.579


This paper presents a degradation-level assessment and failure prognostics methodology for degrading systems. The proposed methodology consists of offline and online phases. In the offline phase, different time-domain health indicators (HIs) are extracted and the best indicator of degradation is selected by filter-based methods. Then, a degradation model is defined and its parameters are estimated using the selected HI. In the online phase, the k-means clustering is utilized to detect a change(s) in the system’s health state and to trigger failure prognostics for remaining useful life (RUL) prediction. The degradation model parameters are updated as new data are available, and the RUL is predicted iteratively. The proposed methodology is implemented on point machine sliding chair degradation using in-field condition monitoring (CM) data. The results show that the methodology can be effectively used in machine degradation-level assessment and in online RUL predictions.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02356303
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Ecole Nationale Supérieure de Mécanique et des Microtechniques - ENSMM (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Université de Franche-Comté (FRANCE)
Other partners > Université de Technologie de Belfort-Montbéliard - UTBM (FRANCE)
Other partners > Advanced Micro devices (USA)
Other partners > ALSTOM Transport (FRANCE)
Other partners > Université Bourgogne Franche-Comté - UBFC (FRANCE)
Laboratory name:
Deposited On:01 Mar 2019 09:07

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