Cargando…
A Machine Learning Approach for Wear Monitoring of End Mill by Self-Powering Wireless Sensor Nodes
There are many tool condition monitoring solutions that use a variety of sensors. This paper presents a self-powering wireless sensor node for shank-type rotating tools and a method for real-time end mill wear monitoring. The novelty of the developed and patented sensor node is that the longitudinal...
Autores principales: | Ostasevicius, Vytautas, Karpavicius, Paulius, Paulauskaite-Taraseviciene, Agne, Jurenas, Vytautas, Mystkowski, Arkadiusz, Cesnavicius, Ramunas, Kizauskiene, Laura |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124530/ https://www.ncbi.nlm.nih.gov/pubmed/33946491 http://dx.doi.org/10.3390/s21093137 |
Ejemplares similares
-
Investigation of the Robotized Incremental Metal-Sheet Forming Process with Ultrasonic Excitation
por: Ostasevicius, Vytautas, et al.
Publicado: (2022) -
Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force
por: Ostasevicius, Vytautas, et al.
Publicado: (2021) -
Development of a Low-Frequency Piezoelectric Ultrasonic Transducer for Biological Tissue Sonication
por: Ostasevicius, Vytautas, et al.
Publicado: (2023) -
Biomechanical microsystems: design, processing and applications
por: Ostasevicius, Vytautas, et al.
Publicado: (2017) -
Peculiarities of the Third Natural Frequency Vibrations of a Cantilever for the Improvement of Energy Harvesting
por: Ostasevicius, Vytautas, et al.
Publicado: (2015)