Fault detection and diagnosis for DC motor in robot movement system using neural network
Most of intelligent control in movement control involves fuzzy logic and neural network systems. In this research, a neural network is used to detect and diagnose the faults that may occur in a DC motor system during robot operations. The DC motor system is constructed using the SIMULINK® toolbox....
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Akamai University
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/14735/1/Fault%20detection%20and%20diagnosis%20for%20DC%20motor%20in%20robot%20movement%20system%20using%20neural%20network.pdf http://psasir.upm.edu.my/id/eprint/14735/ |
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my.upm.eprints.147352015-11-04T00:57:13Z http://psasir.upm.edu.my/id/eprint/14735/ Fault detection and diagnosis for DC motor in robot movement system using neural network Che Soh, Azura Abdul Rahman, Ribhan Zafira Most of intelligent control in movement control involves fuzzy logic and neural network systems. In this research, a neural network is used to detect and diagnose the faults that may occur in a DC motor system during robot operations. The DC motor system is constructed using the SIMULINK® toolbox. This system provides the normal and faulty data that has been used for training purpose in the neural network system to get the normal and faulty models. Finally, from the simulation results, the neural network is able to recognize the system characteristic whether in normal conditions or faulty conditions. Akamai University 2009-05 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14735/1/Fault%20detection%20and%20diagnosis%20for%20DC%20motor%20in%20robot%20movement%20system%20using%20neural%20network.pdf Che Soh, Azura and Abdul Rahman, Ribhan Zafira (2009) Fault detection and diagnosis for DC motor in robot movement system using neural network. The Pacific Journal of Science and Technology, 10 (1). pp. 35-43. ISSN 1551-7624 |
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Most of intelligent control in movement control involves fuzzy logic and neural network systems. In this research, a neural network is used to detect and diagnose the faults that may occur in a DC motor system during robot operations. The
DC motor system is constructed using the SIMULINK® toolbox. This system provides the normal and faulty data that has been used for training purpose in the neural network system to
get the normal and faulty models. Finally, from the simulation results, the neural network is able to recognize the system characteristic whether in normal conditions or faulty conditions. |
| format |
Article |
| author |
Che Soh, Azura Abdul Rahman, Ribhan Zafira |
| spellingShingle |
Che Soh, Azura Abdul Rahman, Ribhan Zafira Fault detection and diagnosis for DC motor in robot movement system using neural network |
| author_facet |
Che Soh, Azura Abdul Rahman, Ribhan Zafira |
| author_sort |
Che Soh, Azura |
| title |
Fault detection and diagnosis for DC motor in robot movement system using neural network |
| title_short |
Fault detection and diagnosis for DC motor in robot movement system using neural network |
| title_full |
Fault detection and diagnosis for DC motor in robot movement system using neural network |
| title_fullStr |
Fault detection and diagnosis for DC motor in robot movement system using neural network |
| title_full_unstemmed |
Fault detection and diagnosis for DC motor in robot movement system using neural network |
| title_sort |
fault detection and diagnosis for dc motor in robot movement system using neural network |
| publisher |
Akamai University |
| publishDate |
2009 |
| url |
http://psasir.upm.edu.my/id/eprint/14735/1/Fault%20detection%20and%20diagnosis%20for%20DC%20motor%20in%20robot%20movement%20system%20using%20neural%20network.pdf http://psasir.upm.edu.my/id/eprint/14735/ |
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