Enhancing predictive maintenance in automotive industry: addressing class imbalance using advanced machine learning techniques
Abstract Predictive maintenance is an important application in the automotive industry to enhance vehicle reliability and reducing operational downtime. However, the major challenge with the predictive maintenance types of datasets is the class imbalance, where failure instances are scarce. In this...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06827-3 |
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