Classification of machine fault using principle component analysis, general regression neural network and probabilistic neural network
As a major industry prime mover, induction motor plays an important role in manufacturing. In fact, production can cease its operation if there is some error or fault in the induction motor. In the industry, bearing, stator and rotor fault are the highest among other faults. Thus, this paper is to c...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Universiti Teknikal Malaysia Melaka
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/67021/ http://journal.utem.edu.my/index.php/jtec/article/view/1416 |
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| Institution: | Universiti Teknologi Malaysia |