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Intelligent sensors—a generic software approach

Record type: Article

Designating a sensor as intelligent is a long-standing term implying that it provides more functionality than merely providing an output measurement. Since there is some discrepancy governing what makes a given sensor intelligent, this paper defines the features required for improving confidence in sensor measurements, from the sensor management perspective. We describe a software framework used to implement tasks such as condition monitoring onboard the sensor itself, rather than at the traditional supervisory level. The algorithms include data-based models, which allows for modelling of non-linear effects and estimation uncertainty, which is a prerequisite for data fusion. Density estimation for novelty detection is demonstrated for an accelerometer that is purposely damaged in an environmental chamber.

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Citation

Boltryk, P.J., Harris, C.J. and White, N.M., Prosser, S. J., Yan, Y. and Lewis, E.(eds.) (2005) Intelligent sensors—a generic software approach Journal of Physics: Conference Series, 15, (1), 155 -160. (doi:10.1088/1742-6596/15/1/026).

More information

Published date: 2005
Keywords: intelligent sensor, novelty detection, data-based model

Identifiers

Local EPrints ID: 30243
URI: http://eprints.soton.ac.uk/id/eprint/30243
ISSN: 1742-6588
PURE UUID: 6c386589-1ca3-4758-93b9-a36a938129f6
ORCID for N.M. White: ORCID iD orcid.org/0000-0003-1532-6452

Catalogue record

Date deposited: 11 May 2006
Last modified: 17 Jul 2017 15:55

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Contributors

Author: P.J. Boltryk
Author: C.J. Harris
Author: N.M. White ORCID iD
Editor: S. J. Prosser
Editor: Y. Yan
Editor: E. Lewis

University divisions


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