期刊
出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3277593.3277608
关键词
Condition-based predictive maintenance; Maintenance 4.0; Industrie 4.0; IIoT; OIIE Framework; OSA-CBM; OSA-EAI
类别
资金
- South Australian Premier's Research and Industry Fund [IRGP 37]
The advent of Industrial Internet of Things (IIoT) technology has significantly optimized the industrial operations management by connecting industrial assets with information systems and, hence, with business processes. The IIoT forms the backbone for materializing the Industry 4.0 initiative. Actionable insights obtained from industrial analytics are one of the pivotal means for achieving intelligent operations and maintenance. Intelligence refers to making optimal decisions for both automated and human-in-the-loop decision making. Condition-based predictive maintenance (CBPdM), also known as Maintenance 4.0, is among the major focus points of the Industry 4.0 and IIoT. In this paper, we discuss the existing standards related to condition-based maintenance and the potential of the Open Industrial Interoperability Ecosystem (OIIE), a MIMOSA led initiative, as a framework which extends previous open standards for achieving CBPdM. We illustrate how the framework addresses the requirements of Industry 4.0 and CBPdM.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据