A Mathematical Morphological Network Fault Diagnosis Method for Rolling Bearings Based on Acoustic Array Signal
To extract valuable characteristic information from the acoustic radiation signal of rolling bearings, a novel mathematical morphological network (MMNet) is proposed. First, a mathematical morphological network layer is constructed by leveraging the advantages of a multi-scale enhanced top-hat morph...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2023-11-01
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| Col·lecció: | Applied Sciences |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2076-3417/13/23/12671 |
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