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
fDate :
Aug. 30 2006-Sept. 1 2006
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;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.545
