摘要
电网负荷侧机械装置的故障诊断一直是电网需求侧管理的难题,大负荷机械装置的故障会导致设备停机,引发电网负荷的陡降,对电网的安全稳定运营造成极大的威胁。传统的故障诊断方法主要基于快速傅里叶变换,难以实现特定时间段频率特征的提取,对此提出了基于小波变换的旋转机械负荷故障诊断方法,不仅能得到故障特征频率,而且可实现对故障特征频率的定位。
The fault diagnosis of the load side mechanical device of the power grid has always been a difficult problem in the demand side management of the power grid.The fault of the large load mechanical device will lead to the equipment shutdown and lead to the sudden drop of the power grid load,which will pose a great threat to the safe and stable operation of the power grid.The traditional fault diagnosis method is mainly based on the fast Fourier transform,which is difficult to extract the frequency characteristics of a specific period of time.Aiming at this problem,a fault diagnosis method of rotating machinery load based on wavelet transform is proposed,which can not only get the fault characteristic frequency but also locate the fault characteristic frequency.
作者
刘志闯
卢德龙
LIU Zhichuang;LU Delong(Xinyi Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Xinyi 221400,China;Suzhou Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215004,China)
出处
《电工技术》
2020年第17期106-108,共3页
Electric Engineering
基金
国家自然科学基金“基于城市光伏密集接入地区楼宇空调虚拟机组组合及联动策略的研究”(编号51577028)。
关键词
电网
旋转机械装置
小波变换
power grid
rotating machinery
wavelet transform
