Data-driven smart production line and its common factors

Yongping Zhang, Ying Cheng, Xi Vincent Wang, Ray Y. Zhong, Yingfeng Zhang, Fei Tao

科研成果: 期刊稿件文章同行评审

26 引用 (Scopus)

摘要

Due to the wide usage of digital devices and easy access to the edge items in manufacturing industry, massive industrial data is generated and collected. A data-driven smart production line (SPL), which is a basic cell in a smart factory, is derived primarily. This paper studies the data-driven SPL and its common factors. Firstly, common factors such as integration, data-driven, service collaboration, and proactive service of SPL are investigated. Then, a data-driven method including data self-perception, data understanding, decision-making, and precise control for implementing SPL is proposed. As a reference, the research of the common factors and the data-driven method could offer a systematic standard for both academia and industry. Moreover, in order to validate this method, this paper presents an industrial case by taking an energy consumption forecast and fault diagnosis based on energy consumption data in a prototype of LED epoxy molding compound (EMC) production lines for example.

源语言英语
页(从-至)1211-1223
页数13
期刊International Journal of Advanced Manufacturing Technology
103
1-4
DOI
出版状态已出版 - 19 7月 2019

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