Development of Noise Digital Analysis and Rapid Forewarning Terminal for Transformer
LI Weishen, Gdepri Power · Guangdong Electric Power · 2014
This paper introduces specific design for a kind of terminal for rapid prewarning on potential failure of transformers based on noise digital analysis.It firstly analyzes various physical quantities and selects sound sensor of faster physical response characteristic than that of temperature or gas sensor and sampling chip with Delta-Sigma technology for designing hardware.Secondly,it applies digital information processing technology for designing measuring analysis algorithm among which it uses infinite impulse response digital filter algorithm for calculating continuous equivalent sound pressure levels of Z,CA frequency weighting and fast Fourier transformation algorithm for analyzing noise frequency spectrum.By simulating on noise information model and using experimental equipments for commissioning,it proves that this terminal is provided with higher measuring precision for realizing rapid prewarning on abnormal working conditions of transformers and suitable for real-time monitoring and protection on transformer noise of the smart grid.