Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
The main objective of this research is to enhance the classification performance of the neural network-based bearing fault diagnostic module particularly when the input data has unpredictable variations compared to the training data under various working conditions. The most challenging problem in t...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2015
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| Online Access: | https://eprints.ums.edu.my/id/eprint/43794/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/43794/2/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/43794/ |
| Abstract | Abstract here |