Research on Transformer Oil Dielectric Loss Live Detection System Based on Intelligent Internet of Things Technology

Abstract

This paper analyzes the spectral properties of Blackman self-convolution windows. At the same time, a blackman self-convolution window bispectrality interpolation FFT based on the computer intelligent Internet of things technology is proposed for the dielectric loss angle charged detection algorithm, and the calculation formula of the dielectric loss angle is deduced in detail. Finally, the computer is used for simulation verification. The results show that the algorithm It can effectively improve the measurement accuracy of the dielectric loss angle.