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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
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 novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...
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 ...