Intelligent Monitoring for DC Motor Performance Based on FPGA
This paper presents a fault monitoring of DC motors. A neural network is prepared to processes the inputs parameters “motor speed and current” collected from sensors and delivers condition states of the DC motors “good, fair or bad”. FPGA Spartan 3 kit board is used to implement the proposed monitor...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Unviversity of Technology- Iraq
2016-12-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_123668_5f70d18c6def13b5f6a84a8f494b11e6.pdf |
| _version_ | 1797325877882650624 |
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| author | Abbas H. Issa Bilal Z. Ahmed |
| author_facet | Abbas H. Issa Bilal Z. Ahmed |
| author_sort | Abbas H. Issa |
| collection | DOAJ |
| description | This paper presents a fault monitoring of DC motors. A neural network is prepared to processes the inputs parameters “motor speed and current” collected from sensors and delivers condition states of the DC motors “good, fair or bad”. FPGA Spartan 3 kit board is used to implement the proposed monitoring network and the circuits are designed for data acquisition to makes an interface between motors analog collected data and FPGAs digitals inputs ports. The designed circuits are intended to gather analogs readings from the target motor and converting them into digitals to be compatibles with FPGAs inputs ports specifications. The neural networks which are designed based on backs propagation trainings are implemented using Xilinx Spartan-3A Starter FPGAs Kits boards. |
| first_indexed | 2024-03-08T06:15:41Z |
| format | Article |
| id | doaj.art-9dae76dbe29b470299b7c8115776eb5d |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:15:41Z |
| publishDate | 2016-12-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-9dae76dbe29b470299b7c8115776eb5d2024-02-04T17:27:54ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582016-12-013413A2490249910.30684/etj.34.13A.11123668Intelligent Monitoring for DC Motor Performance Based on FPGAAbbas H. IssaBilal Z. AhmedThis paper presents a fault monitoring of DC motors. A neural network is prepared to processes the inputs parameters “motor speed and current” collected from sensors and delivers condition states of the DC motors “good, fair or bad”. FPGA Spartan 3 kit board is used to implement the proposed monitoring network and the circuits are designed for data acquisition to makes an interface between motors analog collected data and FPGAs digitals inputs ports. The designed circuits are intended to gather analogs readings from the target motor and converting them into digitals to be compatibles with FPGAs inputs ports specifications. The neural networks which are designed based on backs propagation trainings are implemented using Xilinx Spartan-3A Starter FPGAs Kits boards.https://etj.uotechnology.edu.iq/article_123668_5f70d18c6def13b5f6a84a8f494b11e6.pdfconditions monitoringfault detectionfpgaartificial intelligenceneural network |
| spellingShingle | Abbas H. Issa Bilal Z. Ahmed Intelligent Monitoring for DC Motor Performance Based on FPGA Engineering and Technology Journal conditions monitoring fault detection fpga artificial intelligence neural network |
| title | Intelligent Monitoring for DC Motor Performance Based on FPGA |
| title_full | Intelligent Monitoring for DC Motor Performance Based on FPGA |
| title_fullStr | Intelligent Monitoring for DC Motor Performance Based on FPGA |
| title_full_unstemmed | Intelligent Monitoring for DC Motor Performance Based on FPGA |
| title_short | Intelligent Monitoring for DC Motor Performance Based on FPGA |
| title_sort | intelligent monitoring for dc motor performance based on fpga |
| topic | conditions monitoring fault detection fpga artificial intelligence neural network |
| url | https://etj.uotechnology.edu.iq/article_123668_5f70d18c6def13b5f6a84a8f494b11e6.pdf |
| work_keys_str_mv | AT abbashissa intelligentmonitoringfordcmotorperformancebasedonfpga AT bilalzahmed intelligentmonitoringfordcmotorperformancebasedonfpga |