Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance
This study introduces the Slope Adaptive Signal Decomposition (SASD) algorithm, a novel method for extracting enhanced intrinsic machine health indicators from vibration data. Leveraging advanced signal processing techniques such as dynamic Savitzky-Golay filtering, segmentation, and trend-based rec...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125001566 |
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