Anti-Interference Methodologies Used for Transformer Noise Test Technology
Jiwen Peng, Hao Cao, Wei Chen, Sichu Dai, Huiyou Yang · 2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT) · 2021
Aiming at the problem that the noise signal detection of transformer is easily interfered by the external environment, three anti-interference test methods are proposed based on the time-frequency characteristics of the typical insects, birds, frogs and vehicle noise around the transformer, including wavelet packet spectral subtraction, short-time window method and filter method. The effectiveness of the algorithm is verified by field measurement. The results show that both wavelet packet spectral subtraction method and filter method can achieve better suppression effect for different interference sources, and their performance is generally better than that of short-time window method. The result has important reference significance for improving the measurement accuracy of transformer noise in complex environment.