Classification of machine fault using principle component analysis, general regression neural network and probabilistic neural network

• Main Authors: Talib, Muhamad Farihin, Nor Azli, Nor Hayati, Othman, Mohd. Fauzi
• Format: Article
• Published: Universiti Teknikal Malaysia Melaka 2016
• Subjects: T Technology
• Online Access: http://eprints.utm.my/id/eprint/67021/; http://journal.utem.edu.my/index.php/jtec/article/view/1416
• Institution: Universiti Teknologi Malaysia

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...