scholarly journals Online transition matrix identification of the state evolution model for the extended Kalman filter in electrical impedance tomography

2008 ◽  
Vol 124 ◽  
pp. 012052 ◽  
Author(s):  
Fernando S Moura ◽  
Julio C C Aya ◽  
Raul G Lima ◽  
Agenor T Fleury
Keyword(s):  
Kalman Filter ◽  
Electrical Impedance Tomography ◽  
Extended Kalman Filter ◽  
Transition Matrix ◽  
Electrical Impedance ◽  
The State ◽  
Evolution Model ◽  
Impedance Tomography ◽  
State Evolution

scholarly journals Mixing of two immiscible phases measured by industrial electrical impedance tomography system

2019 ◽  
Vol 20 (7) ◽  
pp. 707 ◽  
Author(s):  
Michal Malík ◽  
Jiří Primas ◽  
Michal Kotek ◽  
Darina Jašíková ◽  
Václav Kopecký
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Initial Conditions ◽  
Volume Ratio ◽  
Measuring Method ◽  
Industrial Applications ◽  
The State ◽  
Impedance Tomography ◽  
Tomography System ◽  
Total Separation

The mixing of two immiscible phases is a process commonly seen in many industrial applications. Whether it is desirable (e.g. mixing of ingredients in chemical or food industry) or undesirable (e.g. sediments or contaminants in water purification) process, it has to be taken into consideration and a detailed description would be beneficial to any end product. This paper deals with a method for observing the volume ratio of two immiscible phases from the state of total separation to the state of a homogenous mixture using industrial Electrical Impedance Tomography (EIT) system ITS p2+. This paper also shows a great advantage in combining the EIT measuring method with a theoretically derived formula. It is used to calculate the concentration of a non-conductive phase in the final mixture using the initial and final conductivity values. The authors were also able to show a possibility to successfully use the formula in situations, where the initial conditions for it are not fully met.

Nonstationary phase boundary estimation in electrical impedance tomography using unscented Kalman filter

2008 ◽  
Vol 227 (15) ◽  
pp. 7089-7112 ◽  
Author(s):  
Umer Zeeshan Ijaz ◽  
Anil Kumar Khambampati ◽  
Jeong Seong Lee ◽  
Sin Kim ◽  
Kyung Youn Kim
Keyword(s):  
Kalman Filter ◽  
Phase Boundary ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Unscented Kalman Filter ◽  
Impedance Tomography ◽  
Boundary Estimation
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