Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation
Infrared Thermography has been used as a tool for predictive and preventive maintenance of Photovoltaic panels. International Electrotechnical Commission provides some guidelines for using thermography to detect defects in Photovoltaic panels. However, the proposed guidelines focus only on the locat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/6/1343 |
| _version_ | 1828154125371572224 |
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| author | Gomathy Balasubramani Venkatesan Thangavelu Muniraj Chinnusamy Umashankar Subramaniam Sanjeevikumar Padmanaban Lucian Mihet-Popa |
| author_facet | Gomathy Balasubramani Venkatesan Thangavelu Muniraj Chinnusamy Umashankar Subramaniam Sanjeevikumar Padmanaban Lucian Mihet-Popa |
| author_sort | Gomathy Balasubramani |
| collection | DOAJ |
| description | Infrared Thermography has been used as a tool for predictive and preventive maintenance of Photovoltaic panels. International Electrotechnical Commission provides some guidelines for using thermography to detect defects in Photovoltaic panels. However, the proposed guidelines focus only on the location of the hot spot than diagnosing the types of faults. The long-term reliability and efficiency of panels can be affected by progressive defects such as discolouring and delamination. This paper proposed the new Thermal Pixel Counting algorithm to detect the above faults based on three thermal profile index values. The real-time experimental testing was carried out using FLIR T420bx<sup>®</sup> thermal imager and results have been provided to validate the proposed method. In this work, the fuzzy rule-based classification system is proposed to automate the classification process. Fuzzy reasoning method based on a single winner rule fuzzy classifier is designed with modified rule weights by particular grade. The performance of the proposed classifier is compared with the conventional fuzzy classifier and neural network model. |
| first_indexed | 2024-04-11T22:35:49Z |
| format | Article |
| id | doaj.art-7495ed47b56f4c5f8bf8146eed59ccb8 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:35:49Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7495ed47b56f4c5f8bf8146eed59ccb82022-12-22T03:59:13ZengMDPI AGEnergies1996-10732020-03-01136134310.3390/en13061343en13061343Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based EvaluationGomathy Balasubramani0Venkatesan Thangavelu1Muniraj Chinnusamy2Umashankar Subramaniam3Sanjeevikumar Padmanaban4Lucian Mihet-Popa5Department of Electrical and Electronics Engineering, Paavai College of Engineering, Namakkal 637018, IndiaDepartment of Electrical and Electronics Engineering, K.S. Rangasamy College of Technology, Tiruchenogode 637215, IndiaDepartment of Electrical and Electronics Engineering, Knowledge Institute of Technology, Salem 637504, IndiaRenewable Energy Lab (REL), Prince Sultan University, Riyadh 12435, Saudi ArabiaDepartment of Energy Technology, Aalborg 10 University, 6700 Esbjerg, DenmarkFaculty of Engineering, Østfold University College, Kobberslagerstredet 5, 1671 Kråkeroy-Fredrikstad, NorwayInfrared Thermography has been used as a tool for predictive and preventive maintenance of Photovoltaic panels. International Electrotechnical Commission provides some guidelines for using thermography to detect defects in Photovoltaic panels. However, the proposed guidelines focus only on the location of the hot spot than diagnosing the types of faults. The long-term reliability and efficiency of panels can be affected by progressive defects such as discolouring and delamination. This paper proposed the new Thermal Pixel Counting algorithm to detect the above faults based on three thermal profile index values. The real-time experimental testing was carried out using FLIR T420bx<sup>®</sup> thermal imager and results have been provided to validate the proposed method. In this work, the fuzzy rule-based classification system is proposed to automate the classification process. Fuzzy reasoning method based on a single winner rule fuzzy classifier is designed with modified rule weights by particular grade. The performance of the proposed classifier is compared with the conventional fuzzy classifier and neural network model.https://www.mdpi.com/1996-1073/13/6/1343infrared thermographyphotovoltaic panels, discoloringdelaminationdefect diagnosisfuzzy classifier |
| spellingShingle | Gomathy Balasubramani Venkatesan Thangavelu Muniraj Chinnusamy Umashankar Subramaniam Sanjeevikumar Padmanaban Lucian Mihet-Popa Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation Energies infrared thermography photovoltaic panels, discoloring delamination defect diagnosis fuzzy classifier |
| title | Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation |
| title_full | Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation |
| title_fullStr | Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation |
| title_full_unstemmed | Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation |
| title_short | Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation |
| title_sort | infrared thermography based defects testing of solar photovoltaic panel with fuzzy rule based evaluation |
| topic | infrared thermography photovoltaic panels, discoloring delamination defect diagnosis fuzzy classifier |
| url | https://www.mdpi.com/1996-1073/13/6/1343 |
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