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Title: :  Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy
PaperId: :  25454
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25454
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
K HarithaVidya Jyothi Institute of Technology
P NagamuneendraVidya Jyothi Institute of Technology
K SwapnaVidya Jyothi Institute of Technology
L. RajuVidya Jyothi Institute of Technology

Abstract

Electrical Engineering
Solar photovoltaic (SPV) arrays, semi-supervised learning, the Internet of Things (IoT), fault categorization, fault detection, and fault localization.
Faults inside the arrays of solar photovoltaic (SPV) systems have a major impact on their performance. The nonlinear properties of solar cells and changes in the environment make it difficult for traditional protection techniques to detect flaws. Large amounts of data and sensors are needed for learning-based fault diagnosis techniques, which makes them expensive and difficult to integrate with current SPV systems. Furthermore, current methods are unable to locate the problematic panel precisely due to the absence of panel-level monitoring. To tackle these problems, this paper suggests a methodology for fault detection, pinpointing the precise damaged panel, and precisely categorizing errors in SPV arrays. A sensor less electronic circuit with a bipolar junction transistor (BJT) and Zener diode for fault detection, an Internet of Things (IoT)-based web application for tracking individual solar panels for fault localization, and a semi-supervised learning module based on a deep auto encoder (DAE) followed by a hybrid support vector machine and logistic regression (SVM-LR) for fault classification are all part of the methodology.

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IJARIIE K Haritha, P Nagamuneendra, K Swapna, and L. Raju. "Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 6 2024 Page 1418-1428
MLA K Haritha, P Nagamuneendra, K Swapna, and L. Raju. "Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy." International Journal Of Advance Research And Innovative Ideas In Education 10.6(2024) : 1418-1428.
APA K Haritha, P Nagamuneendra, K Swapna, & L. Raju. (2024). Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 1418-1428.
Chicago K Haritha, P Nagamuneendra, K Swapna, and L. Raju. "Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 6 (2024) : 1418-1428.
Oxford K Haritha, P Nagamuneendra, K Swapna, and L. Raju. 'Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, 2024, p. 1418-1428. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Solar_Photovoltaic_Array_Fault_Diagnosis_Using_an_IoT_and_Semi_Supervised_Learning_Based_Strategy_ijariie25454.pdf (Accessed : ).
Harvard K Haritha, P Nagamuneendra, K Swapna, and L. Raju. (2024) 'Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 1418-1428IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Solar_Photovoltaic_Array_Fault_Diagnosis_Using_an_IoT_and_Semi_Supervised_Learning_Based_Strategy_ijariie25454.pdf (Accessed : )
IEEE K Haritha, P Nagamuneendra, K Swapna, and L. Raju, "Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 6, pp. 1418-1428, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Solar_Photovoltaic_Array_Fault_Diagnosis_Using_an_IoT_and_Semi_Supervised_Learning_Based_Strategy_ijariie25454.pdf [Accessed : ].
Turabian K Haritha, P Nagamuneendra, K Swapna, and L. Raju. "Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 6 ().
Vancouver K Haritha, P Nagamuneendra, K Swapna, and L. Raju. Solar Photovoltaic Array Fault Diagnosis Using an IoT and Semi-Supervised Learning-Based Strategy. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(6) : 1418-1428. Available from: https://ijariie.com/AdminUploadPdf/Solar_Photovoltaic_Array_Fault_Diagnosis_Using_an_IoT_and_Semi_Supervised_Learning_Based_Strategy_ijariie25454.pdf
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