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A new adaptive prognostics approach based on hybrid feature selection with application to point machine monitoring

Atamuradov, Vepa and Medjaher, Kamal and Dersin, Pierre and Zerhouni, Noureddine and Camci, Fatih A new adaptive prognostics approach based on hybrid feature selection with application to point machine monitoring. (2018) In: Annual Conference of the Prognostics and Health Management Society 2018, September 2018 (Philadelphia, United States).

(Document in English)

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Official URL: https://doi.org/10.1234/phmconf.2018.v10i1.500


This paper proposes a new adaptive prognostics approach consisting of hybrid feature selection and remaining-useful-life (RUL) estimation steps for railway point machines. In step-1, different time-domain based features are extracted and the best ones are selected by the hybrid feature selection method. Then, a degradation model is fitted to each of the selected features and the parameters are estimated. In step-2, the RUL of the component is predicted by using the proposed adaptive prognostics approach. The adaptive prognostics is based on the weighted likelihood combination of the estimated model parameters. The model parameters each of which estimated by curve fitting are used in the calculation of the likelihood probability weights. Then, an adaptive degradation model is built by using the weighted combination of the model parameter estimates and the component RUL is estimated. The proposed approach is validated on in-field point machine sliding-chair degradation and the results are discussed.

Item Type:Conference or Workshop Item (Paper)
Additional Information:The Prognostics and Health Management Society (PHM Society) is a non-profit organization dedicated to the advancement of PHM as an engineering discipline. One of the basic principles of the PHM Society is to enable timely and free dissemination of research results, articles, opinions, news, and notices pertaining to PHM research and applications. Unlike most other technical organizations, PHM Society has adopted a Creative Commons license policy that allows authors to retain copyright while allowing the Society to distribute their work broadly through modern media. Source : https://phmpapers.org/ (27/02/2019)
HAL Id:hal-02356302
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:27 Feb 2019 15:52

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