id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
asir-55250	Li, Qiheng; Cui, Yubo; Zhang, Jingyu; Liu, Yandong; Zhang, Li	The Fault Diagnosis Method for Photovoltaic Modules Based on Machine Learning	2024	10	.pdf	application/pdf	3642	167	41	Among them, normal is regarded as a type of fault, and in subsequent deep learning based photovoltaic module fault diagnosis, it is also regarded as classifying six types of faults. Compared with traditional threshold judgment methods, www.scholink.org/ojs/index.php/asir Applied Science and Innovative Research Vol. 8, No. 4, 2024 94 Published by SCHOLINK INC. these methods greatly improve the accuracy of photovoltaic fault diagnosis.	cache/asir-55250.pdf	txt/asir-55250.txt