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...

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Detalles Bibliográficos
Autores principales: Kim, Doyun, Heo, Tae-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003148/
https://www.ncbi.nlm.nih.gov/pubmed/35408096
http://dx.doi.org/10.3390/s22072479

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