Intelligent sensors—a generic software approach
Intelligent sensors—a generic software approach
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.
intelligent sensor, novelty detection, data-based model
155 -160
Boltryk, P.J.
82ca101e-7a14-49b5-8ac9-177a5a739c29
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
White, N.M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Prosser, S. J.
5890f226-9bb0-48b8-a70f-9f7862d4c402
Yan, Y.
3864bfec-4680-4297-95a8-7fedf0f5498d
Lewis, E.
6ca3b248-f4b6-4787-b93a-dddbc0b0d871
2005
Boltryk, P.J.
82ca101e-7a14-49b5-8ac9-177a5a739c29
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
White, N.M.
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Prosser, S. J.
5890f226-9bb0-48b8-a70f-9f7862d4c402
Yan, Y.
3864bfec-4680-4297-95a8-7fedf0f5498d
Lewis, E.
6ca3b248-f4b6-4787-b93a-dddbc0b0d871
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), .
(doi:10.1088/1742-6596/15/1/026).
Abstract
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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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
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Date deposited: 11 May 2006
Last modified: 16 Mar 2024 02:39
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Contributors
Author:
P.J. Boltryk
Author:
C.J. Harris
Author:
N.M. White
Editor:
S. J. Prosser
Editor:
Y. Yan
Editor:
E. Lewis
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