Intelligent monitoring for DC motor performance based on FPGA
Joint Authors
Source
Engineering and Technology Journal
Issue
Vol. 34, Issue 13A (31 Dec. 2016), pp.2490-2499, 10 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Isa, Abbas H.& Ahmad, Bilal Z.. 2016. Intelligent monitoring for DC motor performance based on FPGA. Engineering and Technology Journal،Vol. 34, no. 13A, pp.2490-2499.
https://search.emarefa.net/detail/BIM-760847
Modern Language Association (MLA)
Isa, Abbas H.& Ahmad, Bilal Z.. Intelligent monitoring for DC motor performance based on FPGA. Engineering and Technology Journal Vol. 34, no. 13A (2016), pp.2490-2499.
https://search.emarefa.net/detail/BIM-760847
American Medical Association (AMA)
Isa, Abbas H.& Ahmad, Bilal Z.. Intelligent monitoring for DC motor performance based on FPGA. Engineering and Technology Journal. 2016. Vol. 34, no. 13A, pp.2490-2499.
https://search.emarefa.net/detail/BIM-760847
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 2498-2499
Record ID
BIM-760847