Intelligent sensors—a generic software approach
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).
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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.
|Digital Object Identifier (DOI):||doi:10.1088/1742-6596/15/1/026|
|Keywords:||intelligent sensor, novelty detection, data-based model|
|Subjects:||T Technology > T Technology (General)
U Military Science > U Military Science (General)
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences
University Structure - Pre August 2011 > School of Electronics and Computer Science
|Date Deposited:||11 May 2006|
|Last Modified:||06 Aug 2015 02:30|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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