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This paper applies Kalman filtering techniques to the problem of detecting modal changes in large interconnected power systems. Short term alarming procedures are developed based on the statistics of the power spectral density of the Kalman filter innovation. The new technique is tested on both simulated data and real data obtained from power systems in normal operation. The particular advantage of the new method is its ability to detect changes very quickly.