国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Big data has brought new opportunities and challenges to intelligent fault diagnosis in iron and steel industry. According to the characteristics of big data, this paper completes an overview on recent industrial fault diagnosis approaches from the perspectives of data collection and real-time monitoring, machine learning-based diagnosis methods, and the applications of transfer learning. Analysing actual needs and current issues of iron and steel enterprises, an overlook on the future development of fault diagnosis for blast furnace ironmaking based on a novel holistic “System-Module-Function-Attribute” hierarchical structure is presented, with the aim of promoting the green and digital transformation in manufacturing industries.