Optimal arcing fault detection using signal processing techniques Academic Article uri icon


  • In this paper we present an application of classical detection theory as a solution to the problem of detection of high impedance faults in electric power systems. An efficient realization of the resulting optimal fault detector using digital signal processing techniques is also discussed. The fault detection problem is formulated as a statistical hypothesis testing of the presence of deterministic signals with random parameters in additive noise. The resulting optimal fault detector is a power detector and can be realized using a digital notch filter and a sliding sum of the squared output of the notch filter. Finally, a count of the number of energy bursts in the high-order harmonics during a time interval is used to distinguish between faults and routine disturbances. The results make intuitive sense and can be implemented using a programmable digital signal processor. 1991.

published proceedings

  • Electric Power Systems Research

altmetric score

  • 6

author list (cited authors)

  • Li, S., & Russell, B. D.

citation count

  • 4

complete list of authors

  • Li, Shiping||Russell, B Don

publication date

  • January 1991