电子器件2025，Vol.48Issue(1)：148-154,7.DOI:10.3969/j.issn.1005-9490.2025.01.024
基于电压波形的开关电源故障实时监测方法
Real-Time Monitoring Method of Switching Power Supply Fault Based on Voltage Waveform
摘要
Abstract
The switching power supply is widely used in the secondary equipment of the power grid.The failure of the switching power supply will cause the protection device to refuse to operate,and there is a risk of large-scale power failure.Targeting at power failure,the switching power failure warning method based on voltage waveform image features is studied,and the real-time online monitoring of switching power failure warning results of secondary equipment in each power station is realized.The original voltage data are selected as the initial feature to solve the problem that the feature data are difficult to obtain.The deep learning convolution neural network mod-el is used to strengthen the fault early warning capability of the system.The two algorithms of voltage waveform image analysis and volt-age waveform deviation calculation are integrated to avoid missing detection of switching power supply fault.The experiment shows that the proposed method can not only realize real-time online warning,but also detect the slightly degraded switching power supply in ad-vance compared with traditional warning methods.关键词
开关电源/故障预警/图像特征/深度学习/电压波形Key words
switching power supply/failure warning/image features/deep learning/voltage waveform分类
信息技术与安全科学引用本文复制引用
黄福全,晋龙兴,卢正飞,孔德深,张安龙,段俊欢,叶欣..基于电压波形的开关电源故障实时监测方法[J].电子器件,2025,48(1):148-154,7.基金项目
深圳供电局有限责任公司科技项目(090000KK52210169) （090000KK52210169）
