An intelligent approach for data pre-processing and analysis in predictive maintenance with an industrial case study
Recent development in the predictive maintenance field has focused on incorporating artificial intelligence techniques in the monitoring and prognostics of machine health. The current predictive maintenance applications in manufacturing are now more dependent on data-driven Machine Learning algorith...
Main Authors: | Ebru Turanoglu Bekar, Per Nyqvist, Anders Skoogh |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2020-05-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814020919207 |
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