[1]田维,崔博文.基于小波包和支持向量机的逆变器故障诊断[J].集美大学学报(自然版),2019,24(2):125-132.
 TIAN Wei,CUI Bowen.Faults Diagnosis of Inverter Based on Wavelet Packet Decomposition and SVM[J].Journal of Jimei University,2019,24(2):125-132.
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基于小波包和支持向量机的逆变器故障诊断()
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《集美大学学报(自然版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第24卷
期数:
2019年第2期
页码:
125-132
栏目:
船舶与机械工程
出版日期:
2019-03-28

文章信息/Info

Title:
Faults Diagnosis of Inverter Based on Wavelet Packet Decomposition and SVM
作者:
田维崔博文
(集美大学轮机工程学院,福建 厦门 361021)
Author(s):
TIAN WeiCUI Bowen
(School of Marine Engineering,Jimei University,Xiamen 361021,China)
关键词:
逆变器开路故障故障诊断小波包支持向量机
Keywords:
inverteropen-circuit faults diagnosisfault diagnosiswavelet packet decompositionSVM
文献标志码:
A
摘要:
针对逆变器功率元件经常出现的开路故障,提出一种基于小波包分解和支持向量机的故障诊断方法。利用小波包对逆变器输入电流进行分解,获得电流信号的各层细节系数、能量以及偏移量。对分解得来的参数进行相应的归一化处理,得到逆变器功率开关元件不同故障状态下的故障特征。将其各自作为多分类支持向量机的输入量来训练多分类支持向量机。通过模拟实验证明,该方法在诊断和定位故障上具有较高精度和效率。
Abstract:
Aimed at open-circuit(OC)fault of power device in the inverter,the paper proposed a fault diagnosis method to isolate OC faults occurred in the inverter.Wavelet Packet was used to decompose three-phase current of the inverter,detail coefficients,energy and offset with current in different layer were obtained.Normalizing all these parameters,fault features with different OC faults occurred in the inverter were obtained.Multi-class classification Support Vector Machine (SVM) was trained by using all these fault features.Experimental results of simulation show that the method can diagnose and locate fault power device with high precision and efficiency.

相似文献/References:

[1]刘先越,王国玲,俞万能.新能源动力船舶中逆变器下垂控制技术[J].集美大学学报(自然版),2016,21(6):447.
 LIU Xian-yue,WANG Guo-ling,YU Wan-neng.Inverter with Droop Control in New Energy Powered Vessel[J].Journal of Jimei University,2016,21(2):447.
[2]崔博文.基于小波神经网络的逆变器功率开关故障诊断[J].集美大学学报(自然版),2017,22(1):46.
 CUI Bowen.Open-circuit Faults Diagnosis of Power Device inInverter Based on Wavelet and Neural Network[J].Journal of Jimei University,2017,22(2):46.

更新日期/Last Update: 2019-05-05