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» Known Unknowns: Novelty Detection in Condition Monitoring
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IBPRIA
2007
Springer
13 years 11 months ago
Known Unknowns: Novelty Detection in Condition Monitoring
In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
John A. Quinn, Christopher K. I. Williams
ICPR
2000
IEEE
14 years 6 months ago
Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stress...
Simon J. Hickinbotham, James Austin
IJCNN
2000
IEEE
13 years 9 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin
ICASSP
2010
IEEE
13 years 5 months ago
Multiantenna spectrum sensing: Detection of spatial correlation among time-series with unknown spectra
One of the key problems in cognitive radio (CR) is the detection of primary activity in order to determine which parts of the spectrum are available for opportunistic access. This...
David Ramírez, Javier Vía, Ignacio S...
DAGSTUHL
2007
13 years 6 months ago
An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
Susan Darling Urban, Suzanne W. Dietrich, Yi Chen