Cargando…
Clustering at the Disposal of Industry 4.0: Automatic Extraction of Plant Behaviors †
For two centuries, the industrial sector has never stopped evolving. Since the dawn of the Fourth Industrial Revolution, commonly known as Industry 4.0, deep and accurate understandings of systems have become essential for real-time monitoring, prediction, and maintenance. In this paper, we propose...
Autores principales: | Molinié, Dylan, Madani, Kurosh, Amarger, Véronique |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029947/ https://www.ncbi.nlm.nih.gov/pubmed/35458923 http://dx.doi.org/10.3390/s22082939 |
Ejemplares similares
-
Digital Twin for Automatic Transportation in Industry 4.0
por: Martínez-Gutiérrez, Alberto, et al.
Publicado: (2021) -
Data-Driven Living Spaces’ Heating Dynamics Modeling in Smart Buildings using Machine Learning-Based Identification
por: Sadeghian Broujeny, Roozbeh, et al.
Publicado: (2020) -
The interplay of circular economy with industry 4.0 enabled smart city drivers of healthcare waste disposal
por: Chauhan, Ankur, et al.
Publicado: (2021) -
Industry 4.0
por: André, Jean-Claude
Publicado: (2019) -
Industry 5.0 or industry 4.0S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies
por: Raja Santhi, Abirami, et al.
Publicado: (2023)