DocumentCode
2525298
Title
Weather Sensor Fault Detection with Time-Dependent Recursive Thresholds
Author
Hasu, Vesa ; Koivo, Heikki ; Poutiainen, Jani
Author_Institution
Control Eng. Lab., Helsinki Univ. of Technol., Espoo
Volume
3
fYear
2006
fDate
Aug. 30 2006-Sept. 1 2006
Firstpage
140
Lastpage
144
Abstract
This paper describes a methodology for self-tuning fault detection of meteorological measurements. The idea is to utilize recursive least squares-Kalman filter combination to filter the measurements and use the residual to detect the possible erroneous measurements. The alarm thresholds for suspicious are designed to be recursive and adaptive
Keywords
Kalman filters; atmospheric measuring apparatus; fault location; geophysical signal processing; least squares approximations; recursive filters; temperature sensors; Kalman filter; meteorological measurement; recursive least square; selftuning fault detection; weather sensor; Control engineering; Fault detection; Humans; Meteorology; Ocean temperature; Quality assurance; Quality control; Sea measurements; Sea surface; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2616-0
Type
conf
DOI
10.1109/ICICIC.2006.545
Filename
1692136
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