《无线互联科技》杂志社

Wireless Internet Technology Magazine Agency

关键词: 脉冲电流法, 高压开关柜, 绝缘故障诊断

Abstract: The insulation performance of high-voltage switchgear directly impacts the safety and stability of the power system. To address the challenges of insulation fault diagnosis, this paper proposes a novel diagnostic technology based on the pulse current method, integrating the entropy weight method, analytic hierarchy process, and neural network algorithm to achieve intelligent evaluation and in-depth analysis of switchgear operating conditions. By designing a parallel optimized empirical mode decomposition (EEMD) algorithm and ODPS extended MapReduce model, this study significantly enhances the precision and efficiency of partial discharge signal feature extraction. Experimental results demonstrate that this technology can accurately identify insulation conditions in various fault scenarios and predict fault development trends, providing robust technical support for the intelligent operation and maintenance of power systems, with broad application prospects.

Key words: pulsed current method, high voltage switchgear, insulation fault diagnosis