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Analysis and comparison of multiple features for fault detection and prognostic in ball bearings

Nguyen, Thi Phuong Khanh and Khlaief, Amor and Medjaher, Kamal and Picot, Antoine and Maussion, Pascal and Tobon, Diego and Chauchat, Bertrand and Cheron, Regis Analysis and comparison of multiple features for fault detection and prognostic in ball bearings. (2018) In: Fourth european conference of the prognostics and health management society 2018, 3 July 2018 - 6 July 2018 (Utrecht, Netherlands).

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Official URL: https://phmpapers.org/index.php/phme/article/view/435

Abstract

Feature extraction is one of the most important elements in Prognostics and Health Management (PHM) systems. Numerous techniques have been proposed for fault detection, diagnostics and prognostics in ball bearings which are key components of rotating machineries, widely used in the industry. Considering the strengths and weaknesses of these techniques, this paper aims at evaluating and analyzing different features in all three signal processing domains: time, frequency and time-frequency. The crucial indicators related to normal and abnormal cases are extracted from both vibration signals and stator current signals. Then, a new metric is proposed to measure the evolution of these indicators with respect to degradation levels of bearings. The performance of every indicator is analyzed to study which feature(s) is(are) better than other(s) and which feature(s) is(are) the best appropriate for vibration and current signals. These results could be effectively used in future for fault detection, diagnostics and prognostics applications.

Item Type:Conference or Workshop Item (Paper)
Additional Information:First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
HAL Id:hal-02111843
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > ALSTOM Transport (FRANCE)
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Deposited On:06 Mar 2019 08:12

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