Towards an open-standards based framework for achieving condition-based predictive maintenance

Abstract

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.