Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning
In this paper, a hybrid online learning model that combines the fuzzy min–max (FMM) neural network and the Classification and Regression Tree (CART) for motor fault detection and diagnosis tasks is described. The hybrid model, known as FMM-CART, incorporates the advantages of both FMM and CART for u...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer Verlag
2016
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/17733/ http://dx.doi.org/10.1007/s10845-014-0950-3 |
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