基于小波包能量熵的变压器振动信号特征研究  

Features of Vibration Signal of Transformer Based on the Wavelet Packet Energy Entropy

作　　者：刘珊[1] 曹海泉[2] 于海[3] 洪刚[4] 

机构地区：[1]中国水电顾问集团西北勘测设计研究院,西安710056 [2]宜宾电业局,四川宜宾644002 [3]沧州供电公司,河北沧州061000 [4]西安理工大学电力工程系,西安710048

出　　处：《电网与清洁能源》2010年第5期35-38,共4页Power System and Clean Energy

基　　金：霍英东高校青年教师基金(101076)

摘　　要：利用小波包分解原理将变压器振动信号分解到不同的频段中,然后计算各频段的能量熵值,最后根据该能量熵值来对变压器绕组进行故障诊断。试验结果表明,该方法能够突显变压器绕组的故障特征信息,为变压器绕组的早期故障的诊断奠定了坚实的基础。In this paper,the wavelet packet is used to decompose the vibration signal of the transformer into different frequency bands,and then the energy entropy of each band is calculated.The entropy value(WP-EE)worked out is then used for the fault diagnosis of transformer windings.The results of experiments show that this method can highlight the characteristic information of faults in windings,therefore it lays a solid foundation in detectingthe incipient faults in windings.

关 键 词：变压器 绕组 振动信号 小波包能量熵 

分 类 号：TM401.1[电气工程—电器]