Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0

研究成果: Article同行評審

36 引文 斯高帕斯(Scopus)

摘要

The main purpose of predictive maintenance (PdM) is to reduce unscheduled downtime and consequently improve productivity and reduce production cost. PdM has been featured as a key theme of Industry 4.0. However, the traditional PdM system was only designed for a single tool; as such, the resources allocation will become extremely complicated when hundreds of tools are working together in a factory. A manageable hierarchy and various health indexes are required for factory-wide equipment maintenance. To solve the problem mentioned above, this paper proposes a factory-wide intelligent predictive maintenance system by applying the so-called cyber-physical agent and advanced manufacturing cloud of Things to fulfill the requirements of Industry 4.0, the baseline predictive maintenance scheme to accomplish the PdM functions, and the newly proposed health index hierarchy to supervise factory-wide equipment maintenance.

原文English
頁(從 - 到)562-571
頁數10
期刊Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A
40
發行號7
DOIs
出版狀態Published - 2017 10月 3

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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