[1]樊京路,易韵岚.基于小波分析的光伏并网逆变器故障诊断[J].控制与信息技术,2014,(05):12-16.[doi:10.13889/j.issn.2095-3631.2014.05.003]
 FAN Jinglu,YI Yunlan.Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis[J].High Power Converter Technology,2014,(05):12-16.[doi:10.13889/j.issn.2095-3631.2014.05.003]
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基于小波分析的光伏并网逆变器故障诊断()
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《控制与信息技术》[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2014年05期
页码:
12-16
栏目:
变流与控制
出版日期:
2014-10-31

文章信息/Info

Title:
Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis
文章编号:
2095-3631(2014)05-0012-05
作者:
樊京路易韵岚
株洲南车时代电气股份有限公司
Author(s):
FAN Jinglu YI Yunlan
Zhuzhou CSR Times Electric Co.,Ltd.,
关键词:
并网逆变器故障特征故障诊断小波分析神经网络光伏发电
Keywords:
grid-connected inverter fault characteristics fault diagnosiswavelet analysis neural network PV (photovoltaic)
分类号:
TM464+.9
DOI:
10.13889/j.issn.2095-3631.2014.05.003
文献标志码:
A
摘要:
针对光伏并网逆变器的故障检测与智能在线诊断问题,提出了一种C3C3逆变器故障特征提取方法。该方法以逆变器输出三相电流的小波分析结果作为判断依据,将故障信号的近似分量和细节分量相结合作为故障特征向量,利用神经网络的分类功能,实现对光伏并网逆变器的故障诊断。该方法无需电压信号和人工参与,硬件实现简单,且抗干扰性强。仿真实验结果证明了该方法的有效性。
Abstract:
Aiming to the fault detecting of photovoltaic grid-connected inverter and its intelligent online diagnosis problem, it proposed a C3C3 inverter fault feature extraction method, which used a three-phase inverter output current as a result of judgments based on wavelet analysis, and combines the approximate component and detail component of failure signals as failure feature vector; then used the classification of neural network to complete the fault diagnosis of photovoltaic grid inverters. This approach will not require manual intervention and the voltage signal, which has simple hardware implementation and strong anti-interference. The effectiveness of the proposed method has been proved through the simulation experiment.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2014- 06- 27
作者简介:樊京路(1 9 8 7- ),男,硕士,研究方向为电力电子故障诊断。
更新日期/Last Update: 2016-03-10