High-voltage circuit breaker fault diagnosis data processing method

The invention relates to the field of high-voltage circuit breaker fault diagnosis, in particular to a high-voltage circuit breaker fault diagnosis data processing method, which comprises the following steps of S1, acquiring signal parameters of a high-voltage circuit breaker under various working conditions through a data acquisition module, and performing morphological denoising through a filter; s2, extracting feature vectors as sample data according to the denoised signal parameters obtained in the step S1; s3, balancing the number of samples under different working conditions in the step S2; and S4, training a fault diagnosis model through a machine learning algorithm according to the balanced sample data in the step S3. According to the high-voltage circuit breaker fault diagnosis data processing method provided by the invention, the initial signal can be denoised, various sample data can be balanced, and the effect of improving the fault diagnosis precision is achieved. 本发明涉及高压断路器故障诊断领域，特别涉及一种高压断路器故障诊断