Weather Sensor Fault Detection with Time-Dependent Recursive Thresholds

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.