Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis
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 appro...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2014-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2014.05.003 |
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| _version_ | 1849224912988798976 |
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| author | FAN Jinglu YI Yunlan |
| author_facet | FAN Jinglu YI Yunlan |
| author_sort | FAN Jinglu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-dd47fcec84e942b9b5775912d90a4f07 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2014-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-dd47fcec84e942b9b5775912d90a4f072025-08-25T06:50:39ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272014-01-0131121682329489Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet AnalysisFAN JingluYI YunlanAiming 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.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2014.05.003grid-connected inverterfault characteristicsfault diagnosiswavelet analysisneural networkPV (photovoltaic) |
| spellingShingle | FAN Jinglu YI Yunlan Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis Kongzhi Yu Xinxi Jishu grid-connected inverter fault characteristics fault diagnosis wavelet analysis neural network PV (photovoltaic) |
| title | Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis |
| title_full | Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis |
| title_fullStr | Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis |
| title_full_unstemmed | Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis |
| title_short | Fault Diagnosis of Photovoltaic Grid-connected Inverter Based on Wavelet Analysis |
| title_sort | fault diagnosis of photovoltaic grid connected inverter based on wavelet analysis |
| topic | grid-connected inverter fault characteristics fault diagnosis wavelet analysis neural network PV (photovoltaic) |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2014.05.003 |
| work_keys_str_mv | AT fanjinglu faultdiagnosisofphotovoltaicgridconnectedinverterbasedonwaveletanalysis AT yiyunlan faultdiagnosisofphotovoltaicgridconnectedinverterbasedonwaveletanalysis |