Identification of bearing fault in induction motor using random forest algorithm
In day-to-day life 90% of industries use induction motors due toless maintenance, high efficiency, good Power factor and low cost. Maintenance of the induction motor is important for continuous operation in industries.40-60% of the fault in Induction motors is due to bearing failure. Unexpected bear...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/24/e3sconf_icseret2023_01005.pdf |