摘要
为了快速、有效地定位故障点,提出了一种基于多智能体技术的电缆绝缘故障检测方法。搭建多智能体故障检测框架,采用小波方法分析每个分量,并处理小波分解后的故障信号,实现绝缘故障信号变分模态分解。将多智能体视为多个节点,分析多智能体采集温度信号和电流信号,建立等效电路方程,检测电缆绝缘状态。对比实验显示,该方法绝缘附近温度与实际温度偏差较小,能够为船用机电设备安全稳定运行提供实时监测,具有较高的应用价值。
In order to locate the fault quickly and effectively,a cable insulation fault detection method based on multi-agent technology is proposed.This paper builds a multi-agent fault detection framework,analyzes each component with wavelet method,and processes the fault signal after wavelet decomposition to realize the variational modal decomposition of insulation fault signal.The multi-agent is regarded as multiple nodes,the temperature signal and current signal collected by the multi-agent are analyzed,the equivalent circuit equation is established,and the cable insulation state is detected.According to the comparative experiments,the temperature near the insulation of this method has a small deviation from the actual temperature,it can provide real-time monitoring for the safe and stable operation of marine electromechanical equipment,and has high application value.
作者
宋秦中
Song Qinzhong(School of Mechano-electranic Engineering,Suzhou Vocational University,Suzhou 215104,Jiangsu,China)
出处
《船电技术》
2024年第7期12-16,共5页
Marine Electric & Electronic Engineering
基金
江苏高校自然科学基金面上项目(21KJD510009)。
关键词
多智能体技术
变分模态分解
小波分析
绝缘故障检测
multi-agent technology
vibrational mode decomposition
wavelet analysis
insulation fault detection