id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-7072	Zhou, Yang ; Bashah, Nor Shahniza Binti Kamal 	Fault prediction models for big data analysis in industrial internet of things: A literature review	2025	17	.pdf	application/pdf	8736	434	39	Several literature reviews have addressed fault prediction models, often focusing on specific applications, such as wind turbines, power inverters, and software quality, among others. Using Apache Spark, researchers can efficiently process and analyze data from multiple sensors in a distributed environment, thereby achieving real-time updates and dynamic optimization of fault prediction models (Figure 1).	cache/easat-7072.pdf	txt/easat-7072.txt