تقرير
Non-negative tensor factorization for vibration-based local damage detection
العنوان: | Non-negative tensor factorization for vibration-based local damage detection |
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المؤلفون: | Gabor, Mateusz, Zdunek, Rafal, Zimroz, Radoslaw, Wodecki, Jacek, Wylomanska, Agnieszka |
المصدر: | Mechanical Systems and Signal Processing Volume 198, 1 September 2023, 110430 |
سنة النشر: | 2024 |
مصطلحات موضوعية: | Electrical Engineering and Systems Science - Signal Processing |
الوصف: | In this study, a novel non-negative tensor factorization (NTF)-based method for vibration-based local damage detection in rolling element bearings is proposed. As the diagnostic signal registered from a faulty machine is non-stationary, the time-frequency method is frequently used as a primary decomposition technique. It is proposed here to extract multi-linear NTF-based components from a 3D array of time-frequency representations of an observed signal partitioned into blocks. As a result, frequency and temporal informative components can be efficiently separated from non-informative ones. The experiments performed on synthetic and real signals demonstrate the high efficiency of the proposed method with respect to the already known non-negative matrix factorization approach. |
نوع الوثيقة: | Working Paper |
DOI: | 10.1016/j.ymssp.2023.110430 |
URL الوصول: | http://arxiv.org/abs/2403.12554 |
رقم الأكسشن: | edsarx.2403.12554 |
قاعدة البيانات: | arXiv |
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