基于局部放电特征的电机定子搭线故障智能识别方法

CN122072316BActive Publication Date: 2026-07-17QINGDAO YIDI ELECTRONICS CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
QINGDAO YIDI ELECTRONICS CO LTD
Filing Date
2026-04-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are difficult to effectively distinguish between metallic wire contact faults and air corona discharge in motor stator winding tests, and are easily affected by power grid fluctuations, resulting in low identification accuracy and poor stability.

Method used

By applying AC high voltage to the stator winding of the motor, partial discharge pulses, instantaneous voltage signals and phase signals are obtained. The analysis window is dynamically divided, and the voltage dynamic distribution entropy, waveform steepness index and stability score are calculated. The fault state is finally determined by combining the weighted combination.

Benefits of technology

It improves the sensitivity of identifying metallic wire faults in dynamic environments, reduces false alarms, and provides more robust insulation condition monitoring.

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Abstract

本发明属于电机绝缘特征识别及数据处理技术领域,具体涉及基于局部放电特征的电机定子搭线故障智能识别方法,其方法包括:通过在电机定子绕组上施加交流高压测试,获取局部放电脉冲、瞬时电压信号及相位信号;利用瞬时电压信号的变化速率划分分析窗口;计算各分析窗口的电压动态分布熵、波形陡峭指数及稳定性得分;基于电压动态分布熵、波形陡峭指数及稳定性得分的加权组合获取最终识别指数,并结合连续窗口门限判定逻辑,判定电机定子的故障状态。本发明减少了电压爬升过程中的特征漂移干扰,提升了电机定子搭线故障识别的鲁棒性与准确度。
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