Abstract
This paper will provide some insights on the application of Field Programmable Gate Array (FPGA) in process tomography. The focus of this paper will be to investigate the performance of the technology with respect to various tomography systems and comparison to other similar technologies including the Application Specific Integrated Circuit (ASIC), Graphics Processing Unit (GPU) and the microcontroller. Fundamentally, the FPGA is primarily used in the Data Acquisition System (DAQ) due to its better performance and better trade-off as compared to competitor technologies. However, the drawback of using FPGA is that it is relatively more expensive.
Highlights
Industrial process tomography (IPT) is generally a cross sectional imaging of parameters of industrial processes and usually a function of time [1]
The focus of this paper will be to investigate the performance of the technology with respect to various tomography systems and comparison to other similar technologies including the Application Specific Integrated Circuit (ASIC), Graphics Processing Unit (GPU) and the microcontroller
The advantages of Field Programmable Gate Array (FPGA) include the ability to construct the required hardware [9]. This is better than the usual application-specific standard product (ASSP) which is applicable to other technologies as well or using the application-specific integrated circuit (ASIC) which is more cost, time consuming, and of higher risk
Summary
Industrial process tomography (IPT) is generally a cross sectional imaging of parameters of industrial processes and usually a function of time [1]. There are various brands of Field Programmable Gate Array (FPGA) in the market. The advantages of FPGA include the ability to construct the required hardware [9]. This is better than the usual application-specific standard product (ASSP) which is applicable to other technologies as well or using the application-specific integrated circuit (ASIC) which is more cost, time consuming, and of higher risk.
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