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A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings
The reliable and cost-effective condition monitoring of the bearings installed in water pumps is a real challenge in the industry. This paper presents a novel strong feature selection and extraction algorithm (SFSEA) to extract fault-related features from the instantaneous power spectrum (IPS). The...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234243/ https://www.ncbi.nlm.nih.gov/pubmed/34203066 http://dx.doi.org/10.3390/s21124225 |