Generic reality visualization modelling from process tomography sensor data in process design

Measurement Science and Technology

Volumn 15, Issue 7, 2004, Pages 1355-1365

  Hoyle, B S ^a   Jia, X ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Process interpretation; Reality visualization modelling; Tomographic sensing

Indexed keywords

DATA REDUCTION; MONITORING; TOMOGRAPHY; VISUALIZATION;

PROCESS TOMOGRAPHY (PT) SENSING; REALITY VISUALIZATION MODELLING (RVM);

SENSORS;

MEASUREMENT METHOD;

EID: 3242661940     PISSN: 09570233     EISSN: None     Source Type: Journal    
DOI: 10.1088/0957-0233/15/7/019     Document Type: Article

References (21)

1. Duncan S 2001 Using process tomography as a sensor in a system for controlling concentration in fluid flow Proc. 2nd World Congress on Industrial Process Tomography (Hannover) pp 378-86
2. Gros X E 1997 NDT Data Fusion (Amsterdam: Elsevier)
3. Hoyle B S, Jia X, Podd F J W, Schlaberg H I, Wang M, West R M, Williams R A and York T A 2001 Design and application of a multi-modal process tomography system Meas. Sci. Technol. 12 1157-65
4. Hunt A, Pendleton J B and White R B 2003 A novel tomographic flow analysis system Proc. 3rd World Congress on Industrial Process Tomography (Banff) pp 281-6
5. IoP 2001 Meas. Sci. Technol. Special feature on electrical and industrial tomography 12 (8)
6. IoP 2002 Meas. Sci. Technol. Special feature on process tomography 13 (12)
7. Jaworski A J, Dyakwoski T and Davies G A 2003 Application of distributed sensor arrays for monitoring multiphase processes Trans. ASME, J. Energy Resour. Technol. 125 258-65
8. Lionheart W R B 2001 Reconstruction algorithms for permittivity and conductivity imaging Proc. 2nd World Congress on Industrial Process Tomography (Hannover) pp 4-11
9. Mann R and Hackett L A 1988 Fundamentals of gas-liquid mixing in a stirred vessel: an analysis based on networks-of-zones Proc. 6th European Conf. on Mixing pp 321-8
10. Mann R, Williams R A, Dyakowski T, Dickin F J and Edwards R B 1997 Development of mixing models using electrical resistance tomography Chem. Eng. Sci. 52 2073-85
11. Mavros P, Mann R, Vlaev S D and Bertrand J 2001 Experimental visualization and CFD simulation of flow patterns induced by a novel energy-saving dual-configuration impeller in stirred vessels Trans. IChemE 79 857-66
12. Mohamad-Saleh J, Hoyle B S, Podd F J W and Spink D M 2001 Direct process estimation from tomographic data using artificial neural systems J. Electron. Imaging 10 646-52
13. Rahimi M, Senior P R and Mann R 2000 Visual 3D modeling of stirred vessel mixing for an inclined-blade impeller Trans. IChemE 78 348-53
14. Ricard F, Brechtelsbauer C, Lawrence C, Xu Y and Pannier A 2003 Application of electrical resistance tomography technology to pharmaceutical processes Proc. 3rd World Congress on Industrial Process Tomography pp 701-6
15. VCIPT 1999 Proc. 1st World Congress on Industrial Process Tomography (Buxton)
16. VCIPT 2001 Proc. 2nd World Congress on Industrial Process Tomography (Hannover)
17. VCIPT 2003 Proc. 3rd World Congress on Industrial Process Tomography (Banff)
18. West R M, Bennett M A, Jia X, Ostrowski K L and Williams R A 1999 Flow-regime discrimination in bubble columns using electrical capacitance tomography Mach. Graph. Vis. 8 681-90
19. West R M, Tapp H S, Spink D M, Bennett MA and Williams R A 2001 A case study demonstrating automatic interpretation and optimisation of regularisation for electrical resistance tomography Proc. 2nd World Congress on Industrial Process Tomography (Hannover) pp 696-704
20. West R M, Williams R A and Jia X 1997 The quantification of solid-liquid mixing using electrical resistance tomography Chem. Eng. Commun. 175 71-97
21. Williams R A and Beck M S (ed) 1995 Process Tomography-Principles, Techniques and Applications (Oxford: Butterworth-Heinemann)