RSSI fingerprinting-based UHF partial discharge localization technology

摘要

This paper proposes a partial discharge (PD) localization method based on received signal strength indication (RSSI) fingerprint technology which considers its both low hardware cost and good environmental adaptability features. The RSSI fingerprint library is built from PD measurements obtained by UHF sensors considering complex spatial characteristics of radio environment. a BP neural network based algorithm is proposed for accurate PD localization. The field test results show that the average localization error of proposed algorithm is 0.484 meter and 87% localization errors are less than 1 meter which prove the accuracy and stability of our proposed algorithm.