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Conference Papers Year : 2023

DATA PREPROCESSING IN THE CONTEXT OF PHM -CHALLENGES AND SOLUTIONS

Abstract

This study presents a comprehensive framework for addressing data preprocessing challenges in diverse scenarios. The framework covers various aspects, including feature extraction in the time domain, frequency domain, and wavelet domain, as well as feature selection techniques, noise reduction strategies, and data normalization approaches for time series data. Through experimental analysis, we demonstrate the effectiveness of our proposed strategy in enhancing the Signal-to-Noise Ratio value. In particular, the application of the Savitzky-Golay Filter proves successful in reducing signal noise and achieving normalization across all bearings. These findings highlight the potential of our framework in improving data quality and preprocessing procedures for bearing data set which can be generalized for a wide range of applications.
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Dates and versions

hal-04274223 , version 1 (07-11-2023)

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  • HAL Id : hal-04274223 , version 1

Cite

Indrawata Wardhana, Amal Gouiaa-Mtibaa, Pascal Vrignat, Frédéric Kratz. DATA PREPROCESSING IN THE CONTEXT OF PHM -CHALLENGES AND SOLUTIONS. CIE 50 Conference Handbook, CIE 50 Conference Handbook, Oct 2023, Sharjah, United Arab Emirates. ⟨hal-04274223⟩
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