Exploring insights on deep learning-based photovoltaic fault detection for monofacial and bifacial modules using thermography

Routine maintenance of photovoltaic (PV) power plants is critical to mitigate module faults, which can result from environmental factors, reducing power output and accelerating module degradation. To effectively detect faults across the entire PV module array, aerial infrared thermography (AIRT) is...

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Principais autores:	Eko Adhi Setiawan, Muhammad Fathurrahman
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	KeAi Communications Co., Ltd. 2025-12-01
סדרה:	International Journal of Cognitive Computing in Engineering
נושאים:	Photovoltaic PV fault Monofacial Bifacial Mask R-CNN Thermography
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S266630742500021X
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!