On-line incipient fault detection in single-phase squirrel cage using artificial intelligence
This project creates and develops an artificial neural network that is capable to determine the condition of a motor whether it is in a healthy state or fault state. All of the data used to train the artificial neural network is obtained by using the result from the simulation of MATLAB Simulink mod...
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ump-1930 |
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eprints |
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ump-19302017-04-10T01:27:42Z http://umpir.ump.edu.my/id/eprint/1930/ On-line incipient fault detection in single-phase squirrel cage using artificial intelligence Hee, Alvin Bryan Choon Loong TK Electrical engineering. Electronics Nuclear engineering This project creates and develops an artificial neural network that is capable to determine the condition of a motor whether it is in a healthy state or fault state. All of the data used to train the artificial neural network is obtained by using the result from the simulation of MATLAB Simulink model that represent the real motor. The artificial neural network is trained by using radial basis function neural network method. MATLAB is used to construct and develop Graphical User Interface and interface it with the artificial neural network created. By doing so, the user will be able to test the neural network created with ease of using the Graphical User Interface 2009-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1930/1/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28Table%20of%20content%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1930/2/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28aBSTRACT%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1930/3/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28Chapter%201%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1930/4/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28References%29.pdf Hee, Alvin Bryan Choon Loong (2009) On-line incipient fault detection in single-phase squirrel cage using artificial intelligence. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:55171&theme=UMP2 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English English English English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Hee, Alvin Bryan Choon Loong On-line incipient fault detection in single-phase squirrel cage using artificial intelligence |
| description |
This project creates and develops an artificial neural network that is capable to determine the condition of a motor whether it is in a healthy state or fault state. All of the data used to train the artificial neural network is obtained by using the result from the simulation of MATLAB Simulink model that represent the real motor. The artificial neural network is trained by using radial basis function neural network method. MATLAB is used to construct and develop Graphical User Interface and interface it with the artificial neural network created. By doing so, the user will be able to test the neural network created with ease of using the Graphical User Interface |
| format |
Undergraduates Project Papers |
| author |
Hee, Alvin Bryan Choon Loong |
| author_facet |
Hee, Alvin Bryan Choon Loong |
| author_sort |
Hee, Alvin Bryan Choon Loong |
| title |
On-line incipient fault detection in single-phase squirrel cage using artificial intelligence |
| title_short |
On-line incipient fault detection in single-phase squirrel cage using artificial intelligence |
| title_full |
On-line incipient fault detection in single-phase squirrel cage using artificial intelligence |
| title_fullStr |
On-line incipient fault detection in single-phase squirrel cage using artificial intelligence |
| title_full_unstemmed |
On-line incipient fault detection in single-phase squirrel cage using artificial intelligence |
| title_sort |
on-line incipient fault detection in single-phase squirrel cage using artificial intelligence |
| publishDate |
2009 |
| url |
http://umpir.ump.edu.my/id/eprint/1930/ http://umpir.ump.edu.my/id/eprint/1930/ http://umpir.ump.edu.my/id/eprint/1930/1/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28Table%20of%20content%29.pdf http://umpir.ump.edu.my/id/eprint/1930/2/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28aBSTRACT%29.pdf http://umpir.ump.edu.my/id/eprint/1930/3/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28Chapter%201%29.pdf http://umpir.ump.edu.my/id/eprint/1930/4/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence%20%28References%29.pdf |
| first_indexed |
2023-09-18T21:55:17Z |
| last_indexed |
2023-09-18T21:55:17Z |
| _version_ |
1777414037568487424 |