Details of Grant 

EPSRC Reference:	GR/R22148/01
Title:	Spatial Modelling For Electrical Capacitance Tomography
Principal Investigator:	Aykroyd, Dr R
Other Investigators:	West, Professor R Williams, Professor RA West, Dr R
Researcher Co-Investigators:
Project Partners:	UMIST
Department:	Statistics
Organisation:	University of Leeds
Scheme:	Standard Research (Pre-FEC)
Starts:	01 August 2001	Ends:	31 October 2004	Value (£):	196,827
EPSRC Research Topic Classifications:	Multiphase Flow Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:	Manufacturing Chemicals Pharmaceuticals and Biotechnology
Related Grants:
Panel History:
Summary on Grant Application Form
Electrical tomography techniques have many potential applications to industrial processes. We have targeted electrical capacitance tomography (ECT) for on-line monitoring and control of solids conveying. The engineering aspects provide achievable goals with great cost benefit. Success requires the solution of mathematically challenging problems and interaction of mathematicians and engineers. Currently linear approximations are used to produce process visualisations which have artifacts including blurring, masking, shadowing and distortions. Few methods exist to process or analyse such images to enable automatic monitoring or control. The work here includes the development of statistical methods for nonlinear reconstruction that minimise artifacts to improve visualisation and allow direct estimation of control parameters. This requires extension of existing statistical image analysis. The proposed MCMC estimation produces samples of images quantifying confidence and identifying alternative plausible scenes. For highlevel modelling, the estimation produces a distribution of control parameters assisting the formulation of control strategies. Real-time control requires temporal extensions and greater efficiency of sampling. The importance of parameters will be ranked by the posterior distribution and an adaptive sampling stategy proposed both for the measurements of the industrial process and the MCMC sampling. All investigators are on one campus which eases interaction between mathematical and engineering disciplines.
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Organisation Website:	http://www.leeds.ac.uk