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Adaptive power-line disturbance detection scheme using a prediction error filter and a stop-and-go CA CFAR detector

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4 Author(s)
Jaehak Chung ; Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA ; Powers, E.J. ; Grady, W.M. ; Bhatt, S.C.

This paper presents a new power-line disturbance detection algorithm. The utilized recursive least square (RLS) prediction error filter extracts the power-line disturbance signal from recorded data, and the modified stop-and-go cell average constant false alarm rate (CA CFAR) detector makes a decision based on the squared output of the previous stage. The detection performance of the proposed algorithm is determined by simulations, and actual high voltage transmission line data is utilized to demonstrate the performance of the proposed algorithm

Published in:

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on  (Volume:3 )

Date of Conference:

15-19 Mar 1999

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