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Towards data-driven predictive maintenance for industrial robots
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)
The automation of industry in general and the use of industrial robots in assembly lines in particular has considerably increased in the last two decades. Although industrial robots have received significant attention from ...
Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
(MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
A practical and synchronized data acquisition network architecture for industrial robot predictive maintenance in manufacturing assembly lines
(Elsevier Ltd., 2021)
This manuscript presents a methodology and a practical implementation of a network architecture for industrialrobot data acquisition and predictive maintenance. We propose a non-intrusive and scalable robot signalextraction ...
