Abstract Electrical Resistance Tomography (ERT) has the capability of offering time-evolving
multidimensional comprehensive process knowledge, enrichment of fundamental process …

The use of the direct filtering approach for INS/GNSS integrated navigation introduces
nonlinearity into the system state equation. As the unscented Kalman filter (UKF) is a …

Computer-aided surgery systems provide visual guidance to surgeons by showing the real-
time pose of surgical instruments overlaid on preoperative medical images of the patient …

Electrical resistance tomography (ERT) is a promising measurement technique in industrial
process imaging. However, image reconstruction in ERT is an ill-posed inverse problem …

Sensor faults can cause incorrect estimations of gas path fault amplitudes in gas turbines. In
this paper, an unscented Kalman-filter (UKF)-based simultaneous diagnostic scheme for gas …

Abstract Electrical Impedance Tomography (EIT) is a technique utilized in multiphase flow
for identifying flow patterns and void-fraction calculation. An image made of the conductivity …

Electrical impedance tomography (EIT) is a severely ill-posed nonlinear inverse problem. In
order to obtain solutions with physical meaning, the inverse of the model of measurements …

In this paper, a new variational Bayesian adaptive cubature Kalman filter (VBACKF) is
proposed for nonlinear state estimation. Although the conventional VBACKF performs better …

Solving electrical impedance tomography (EIT) inverse problems in real-time is a
challenging task due to their dimension, the nonlinearities involved and the fact that they are …

The monitoring of solid–fluid suspensions under the influence of gravity is widely used in
industrial processes. By considering sedimentation layers with different electrical properties …