摘要
本文结合电力变压器振动信号的自身特性,提出了基于近似熵算法(ApEn)和经验模态分解-能量熵(EMD)的电力变压器振动信号特征提取方法并进行了仿真研究,最终的实验结果表明采用这两个参数的电力变压器振动信号特征提取方法在电力变压器故障诊断方面具有明显的可行性及优势。
This paper combines with the power transformer vibration signal characteristics,puts forward the algorithm based on approximate entropy(ApEn)and empirical mode decomposition energy entropy(EMD)of the power transformer vibration signal characteristic extraction method and simulation,the experimental results show the characteristics of power transformer vibration signal using the two parameter extraction method is feasible and the obvious advantage in the fault diagnosis of power transformer.
作者
史丽敏
SHI Li-min(SichuanWater Conservancy Vocational College,Chengdu 611133 China)
出处
《自动化技术与应用》
2019年第10期98-102,110,共6页
Techniques of Automation and Applications
关键词
电力变压器
近似熵算法
经验模态分解-能量熵
振动信号
power transformer
approximate entropy algorithm
empirical mode decomposition energy entropy
vibration signal
