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- W238846683 abstract "This paper proposes an adaptive identification architecture for dynamical power lines thermal protection. The proposed solution combines knowledge coming from expertise with empirical evidence provided by observations. This is performed by integrating an analytical thermal model, which estimates qualitatively the conductor hot spot temperature, and an adaptive corrective algorithm aimed at enhancing the estimation accuracy. The corrective algorithm is continuously adjusted by field data acquired through distributed fiber-optic sensor based on stimulated Brillouin scattering (SBS). The proposed architecture has been deployed on a hardware microcontroller equipped by satellite based communication system. The main results of experimental studies obtained on a laboratory overhead line are presented and discussed." @default.
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- W238846683 date "2007-01-01" @default.
- W238846683 modified "2023-09-23" @default.
- W238846683 title "INTEGRATION OF SATELLITE TECHNOLOGIES AND LEARNING TECHNIQUES FOR WIDE AREA POWER LINES THERMAL PROTECTION" @default.
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