Paper
2 February 2001 Multimodal process tomography system design
Brian S. Hoyle, Xiadong Jia, Frank J. W. Podd, H. Inaki Schlaberg, Mi Wang, Robert M. West, Richard A. Williams, Trevor A. York
Author Affiliations +
Proceedings Volume 4188, Process Imaging for Automatic Control; (2001) https://doi.org/10.1117/12.417164
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States
Abstract
This paper presents an overview of an integrated multi-modal system designed to support a range of common modalities: electrical resistance, electrical capacitance and ultrasonic tomography. Many complex processes exhibit behaviour that changes over time and space. Such properties demand equally diverse sensing modalities. A process tomography system able to exploit multiple sensor modes must permit the integration of their data, probably centred upon a composite process model. The paper reviews the systems engineering and integrated design constraints. These include a range of hardware oriented challenges: the complexity and specificity of the front end electronics for each modality; the need for front end data pre-processing and packing; the need to integrate the data to facilitate data fusion; and finally the features to enable successful fusion and interpretation. A range of software aspects are also reviewed: the need to support differing front-end sensors for each modality in a generic fashion; the need to communicate with front end data pre-processing and packing systems; the need to integrate the data to allow data fusion; and finally to enable successful interpretation. The review of the system concepts is illustrated with an application to the study of a complex multi-component process.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian S. Hoyle, Xiadong Jia, Frank J. W. Podd, H. Inaki Schlaberg, Mi Wang, Robert M. West, Richard A. Williams, and Trevor A. York "Multimodal process tomography system design", Proc. SPIE 4188, Process Imaging for Automatic Control, (2 February 2001); https://doi.org/10.1117/12.417164
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KEYWORDS
Sensors

Tomography

Data acquisition

Data fusion

Digital signal processing

Data processing

Electrodes

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