Development of a detection and classification method for induction motor faults using Motor Current Signature Analysis and Feedforward Neural Network / Felicity Bulan Leo Uchat
In this thesis, a predictive maintenance method for the development of adetection and classification method for comprehensive fault conditions in induction motors (IM) is proposed. Induction motors are taken into account because they are commonly utilized in industrial and commercial plants worldwid...
Saved in:
主要作者: | Leo Uchat, Felicity Bulan |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2016
|
主題: | |
在線閱讀: | https://ir.uitm.edu.my/id/eprint/14493/1/TD_FELICITY%20BULAN%20LEO%20UCHAT%20EE%2016_5.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Digital neuron integrated circuit design for Feedforward Neural Network using Silterra 0.13 micrometer technology / Mohamad Faiz Omar Mahmud
由: Mahmud, Mohamad Faiz Omar
出版: (2012) -
Dynamic unsupervised feedforward neural network clustering /
由: Asadi, Roya
出版: (2016) -
Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
由: Sabtu, Ahmad Radzi
出版: (2012) -
Artificial neural network sediment transport model for Sungai Bernam / Muhammad Syahreen Sa'adon
由: Sa'adon, Muhammad Syahreen
出版: (2008) -
Character recognition of Malaysian license tender plate number using neural network / Izzwan Ishak
由: Ishak, Izzwan
出版: (2007)