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Title: :  ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS
PaperId: :  21757
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21757
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SHANTHOSHINI DEVI KBANNARI AMMAN INSTITUTE OF TECHNOLOGY
SANJAY SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
NITHYA GBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

ARTIFICIAL INTELLIGENCE
Artificial neural network, Convolutional Neural Network, Photovoltaic Arrays, Fault classification, Solar panel, Voting classifier
A photovoltaic array (PV array) is a group of solar panels that are electrically linked together to generate more electricity. PV arrays can be used to generate electricity for the grid as well as to power residences. Since they have a minimal impact on the environment, they are becoming a more and more popular source of renewable energy. The accurate and timely detection of faults like Electric damages, Physical damages, and soiling in photovoltaic (PV) arrays is crucial for ensuring the efficient operation and maintenance of solar energy systems. Here, we propose a methodology for fault classification in PV arrays using Artificial Neural Networks (ANN), Voting classifier and Convolutional Neural Networks (CNN) to classify 6 distinct anomalies commonly found in PV arrays, including Dusty, electrical damage, physical damage, bird drop, snow covered and clean. An ANN architecture and a voting classifier is designed for binary classification, allowing for the detection of faults. A CNN model is built for the efficient classification of the faults. This result contributes to the development of automated fault detection systems in the solar energy industry, facilitating efficient maintenance planning and enhancing the reliability and efficiency of photovoltaic arrays.

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IJARIIE SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G. "ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1483-1493
MLA SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G. "ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1483-1493.
APA SHANTHOSHINI DEVI K, SANJAY S, & NITHYA G. (2023). ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1483-1493.
Chicago SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G. "ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1483-1493.
Oxford SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G. 'ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1483-1493. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ARTIFICIAL_NEURAL_NETWORK_BASED_APPROACH_FOR_CLASSIFICATION_OF_FAULTS_IN_PHOTOVOLTAIC_ARRAYS_ijariie21757.pdf (Accessed : 02 February 2024).
Harvard SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G. (2023) 'ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1483-1493IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ARTIFICIAL_NEURAL_NETWORK_BASED_APPROACH_FOR_CLASSIFICATION_OF_FAULTS_IN_PHOTOVOLTAIC_ARRAYS_ijariie21757.pdf (Accessed : 02 February 2024)
IEEE SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G, "ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1483-1493, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/ARTIFICIAL_NEURAL_NETWORK_BASED_APPROACH_FOR_CLASSIFICATION_OF_FAULTS_IN_PHOTOVOLTAIC_ARRAYS_ijariie21757.pdf [Accessed : 02 February 2024].
Turabian SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G. "ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (02 February 2024).
Vancouver SHANTHOSHINI DEVI K, SANJAY S, and NITHYA G. ARTIFICIAL NEURAL NETWORK BASED APPROACH FOR CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC ARRAYS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 02 February 2024]; 9(5) : 1483-1493. Available from: https://ijariie.com/AdminUploadPdf/ARTIFICIAL_NEURAL_NETWORK_BASED_APPROACH_FOR_CLASSIFICATION_OF_FAULTS_IN_PHOTOVOLTAIC_ARRAYS_ijariie21757.pdf
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