HYBRID FEATURE SELECTION AND SUPPORT VECTOR MACHINE FRAMEWORK FOR PREDICTING MAINTENANCE FAILURES
The main aim of predictive maintenance is to minimize downtime, failure risks and maintenance costs in manufacturing systems. Over the past few years, machine learning methods gained ground with diverse and successful applications in the area of predictive maintenance. This study shows that performi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Polish Association for Knowledge Promotion
2023-06-01
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Series: | Applied Computer Science |
Subjects: | |
Online Access: | http://www.acs.pollub.pl/index.php?option=com_content&view=article&id=569:hybrid-feature-selection-and-support-vector-machine-framework-for-predicting-maintenance-failures&catid=97:vol-19-no-22023&Itemid=171 |