Browsing by Keywords "Predictive maintenance"
Now showing items 1-4 of 4
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A comparison of state-of-the-art machine learning algorithms on fault indication and remaining useful life determination by telemetry data
(IEEE, 2021-11-15)Contemporary trends in the diffusion of artificial intelligence technologies has increased the number of studies on predictive maintenance, a recent focus of interest in many industrial domains. Despite the increased ... -
Early diagnosis of breakdown through transfer learning
(Bilkent University, 2019-05)Breakdown prediction of equipment is an essential task considering the management of resources and maintenance operations. Early diagnosis systems allow creating alerts on time for taking precautions on production. A ... -
Simultaneous prediction of remaining-useful-life and failure-likelihood with GRU-based deep networks for predictive maintenance analysis
(IEEE, 2021-08-30)Predictive maintenance (PdM) has been an integral part of large industrial sites collecting data from multiple sensors to reduce the maintenance power and costs with the advent of Industry 4.0. Two of the major problems ... -
A workflow for synthetic data generation and predictive maintenance for vibration data
(Molecular Diversity Preservation International (MDPI), 2021-09-22)Digital twins, virtual representations of real-life physical objects or processes, are becoming widely used in many different industrial sectors. One of the main uses of digital twins is predictive maintenance, and these ...
