基于振动信号总离散频谱的高压并联电抗器健康评估方法

Healthy assessment method of high voltage shunt reactor based on total discrete spectrum of vibration signal

文章设计并实现了一套高压并联电抗器健康评估系统,具有振动信号采集、存储、分析,及健康评估等功能。因单一位置振动信号无法全面反映电抗器健康状态且不具备检测拓展性,系统将电抗器表面多路振动信号离散频谱按权重叠加,作为特征向量输入机器学习模型中,实现了对现场运行的6台某公司750 kV高压并联电抗器的检测和健康状态评估。将基于振动信号总离散频谱的评估结果与油色谱检测法和超声波局放法的实测结果进行比较,发现该方法与上述两种常规检测方法的分析结果保持一致,且状态评估准确率达到100%。因此,基于振动信号的电抗器健康状态评估具有很大的实际工程意义。

A healthy assessment system has been developed for high voltage shunt reactor,which has the functions such as signal acquisition,storage,analysis and heath assessment based on vibration signal.Due to the spectral of vibration signals in a single observation point cannot represent the healthy status of the shunt reactor comprehensively and its poor extensibility,we do not take the single-position vibration signal spectrum as feature vectors,but the total discrete spectrum multiple into the machine learning model,where the total discrete spectrum is the weighted sum of the signals from multi-observation points,to achieve a healthy assessment of the operation of 6750 kV high voltage shunt reactors produced by one certain company.The evolution results based on the total discrete spectrum of vibration signals are compared with the measurement result of oil chromatography and ultrasonic partial discharge methods,it is found that the proposed method is consistent with above two conventional methods and the accuracy rate of state assessment is 100%.Therefore,the heath assessment based on vibration signal is greatly significant in practical terms.