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New Trend in Enhancing the Remaining Useful Life Prediction

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    Title: New Trend in Enhancing the Remaining Useful Life Prediction
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    Date: 2018
    Publication type: Seminar work
    Authors:
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    1. IPCO CONF
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    Venue
    Université 20 Août 1955 Skikda, Laboratoire Electrotechnique Skikda – LES

    Abstract

    In situation where the development of degradation model based on first principles is difficult or the extracted features from data-driven model do not exhibit an obvious trend in order to enhance the prediction of the Remaining Useful Life (RUL), we must, therefore, be addressed to the identification of new features having an obvious trending quality. In this context, this paper brings a new feature selection method, based on preprocessing further the extracted features in such a way that the identified prognostic feature results in an obvious trending quality. This method was validated on a set of experimental data collected from bearings run-tofailure tests.