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Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data
Hydraulic systems are advanced in function and level as they are used in various industrial fields. Furthermore, condition monitoring using internet of things (IoT) sensors is applied for system maintenance and management. In this study, meaningful features were identified through extraction and sel...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003148/ https://www.ncbi.nlm.nih.gov/pubmed/35408096 http://dx.doi.org/10.3390/s22072479 |