Web crawler for fault diagnosis of CNC machine tools
Chaoyu Li, Xuchen Liu, Siyu Qian, Jialu Ren, Xinyi Tang · 2019
In the era of soaring network information resources, as the foundation and an important part of big data, the role of web crawlers is particularly important [1]. In the field of CNC machine tool diagnosis, the data is widely distributed and the data exists in different forms, but with the deepening of industrial automation, digitization and intelligence [2], enterprises urgently need to realize fault diagnosis and troubleshooting of CNC machine tools. Therefore, it is of great practical significance to collect these data and form a knowledge base of CNC machine tool fault diagnosis [3]. This paper introduces the difficulties faced by CNC machine tool fault diagnosis data collection and countermeasures, the basic concepts of web crawlers, distributed crawlers and machine learning-based web crawlers, as well as their respective architectures and crawling strategies.