Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis
This study employed a cerebellar model articulation controller (CMAC) neural network to conduct fault diagnoses on photovoltaic power generation systems. We composed a module array using 9 series and 2 parallel connections of SHARP NT-R5E3E 175 W photovoltaic modules. In addition, we used data that...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2013/839621 |
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| author | Kuei-Hsiang Chao Bo-Jyun Liao Chin-Pao Hung |
| author_facet | Kuei-Hsiang Chao Bo-Jyun Liao Chin-Pao Hung |
| author_sort | Kuei-Hsiang Chao |
| collection | DOAJ |
| description | This study employed a cerebellar model articulation controller (CMAC) neural network to conduct fault diagnoses on photovoltaic power generation systems. We composed a module array using 9 series and 2 parallel connections of SHARP NT-R5E3E 175 W photovoltaic modules. In addition, we used data that were outputted under various fault conditions as the training samples for the CMAC and used this model to conduct the module array fault diagnosis after completing the training. The results of the training process and simulations indicate that the method proposed in this study requires fewer number of training times compared to other methods. In addition to significantly increasing the accuracy rate of the fault diagnosis, this model features a short training duration because the training process only tunes the weights of the exited memory addresses. Therefore, the fault diagnosis is rapid, and the detection tolerance of the diagnosis system is enhanced. |
| format | Article |
| id | doaj-art-3a3723bbbd3247aa8a0d64853167d5c3 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-3a3723bbbd3247aa8a0d64853167d5c32025-02-03T01:02:02ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2013-01-01201310.1155/2013/839621839621Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault DiagnosisKuei-Hsiang Chao0Bo-Jyun Liao1Chin-Pao Hung2Department of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Section 2, Zhongshan Road, Taiping District, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Section 2, Zhongshan Road, Taiping District, Taichung 41170, TaiwanDepartment of Electrical Engineering, National Chin-Yi University of Technology, No. 57, Section 2, Zhongshan Road, Taiping District, Taichung 41170, TaiwanThis study employed a cerebellar model articulation controller (CMAC) neural network to conduct fault diagnoses on photovoltaic power generation systems. We composed a module array using 9 series and 2 parallel connections of SHARP NT-R5E3E 175 W photovoltaic modules. In addition, we used data that were outputted under various fault conditions as the training samples for the CMAC and used this model to conduct the module array fault diagnosis after completing the training. The results of the training process and simulations indicate that the method proposed in this study requires fewer number of training times compared to other methods. In addition to significantly increasing the accuracy rate of the fault diagnosis, this model features a short training duration because the training process only tunes the weights of the exited memory addresses. Therefore, the fault diagnosis is rapid, and the detection tolerance of the diagnosis system is enhanced.http://dx.doi.org/10.1155/2013/839621 |
| spellingShingle | Kuei-Hsiang Chao Bo-Jyun Liao Chin-Pao Hung Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis International Journal of Photoenergy |
| title | Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis |
| title_full | Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis |
| title_fullStr | Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis |
| title_full_unstemmed | Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis |
| title_short | Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis |
| title_sort | applying a cerebellar model articulation controller neural network to a photovoltaic power generation system fault diagnosis |
| url | http://dx.doi.org/10.1155/2013/839621 |
| work_keys_str_mv | AT kueihsiangchao applyingacerebellarmodelarticulationcontrollerneuralnetworktoaphotovoltaicpowergenerationsystemfaultdiagnosis AT bojyunliao applyingacerebellarmodelarticulationcontrollerneuralnetworktoaphotovoltaicpowergenerationsystemfaultdiagnosis AT chinpaohung applyingacerebellarmodelarticulationcontrollerneuralnetworktoaphotovoltaicpowergenerationsystemfaultdiagnosis |