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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1088/1742-6596/15/1/026
ISSNs: 1742-6588 (print)
Related URLs:
Keywords: intelligent sensor, novelty detection, data-based model
ePrint ID: 30243
Date :
Date Event
Date Deposited: 11 May 2006
Last Modified: 16 Apr 2017 22:19
Further Information:Google Scholar

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