DocumentCode :
3205401
Title :
Monitoring of industrial process using intelligent tomography system
Author :
Baloch, Taj Mohammad ; Chai, Yu Kiong
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Teknol. Petronas, Tronoh
fYear :
2007
fDate :
25-28 Nov. 2007
Firstpage :
1115
Lastpage :
1119
Abstract :
The paper presents the studies in electrical resistance tomography (ERT) and the implementation of ERT data acquisition system (DAS). The study of the system is carried out by performing lab experiment using adjacent strategy. Results obtained show the existence of the image of solid object in a vessel in different color with significant difference from surrounding ERT-DAS system hardware has been designed and implemented which was used to produce bi-directional current signals for system to measure voltage using adjacent strategy. Measured signals voltages are converted to digital data, saved in a data recording system (personal computer) hard disk and processed to develop the image of area surrounded by sensor using an image processing software. The system was fully controlled by a microcontroller PIC 16F877A.
Keywords :
computerised monitoring; computerised tomography; data acquisition; process monitoring; production engineering computing; ERT data acquisition system; PIC 16F877A; bi-directional current signals; data recording system hard disk; electrical resistance tomography; image processing software; industrial process monitoring; intelligent tomography system; microcontroller; Bidirectional control; Data acquisition; Electric resistance; Hardware; Intelligent systems; Monitoring; Signal design; Solids; Tomography; Voltage; Data Acquisition System; Electrical Resistance; Image processing; Microcontroller; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
Type :
conf
DOI :
10.1109/ICIAS.2007.4658558
Filename :
4658558
Link To Document :
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