IIoTbased Fatigue Life Indication using Augmented Reality Online condition monitoring services and predictive maintenance are becoming more and more a key for system operators to extend the system lifetime and detect faults in early stages. Therefore, system manufactures need to efficiently provide system operators socalled digital twins which can be executed during operation and give the system operator an impression of the health state of the system. Industrial Internet of Things (IIoT) platforms are enablers for such services and provide new possibilities to interact with the system running in the field. Furthermore, the traditional dashboard are becoming obsolete as user interface and are replaced by novel solutions that let the system operator experience the system health state. For example, health estimation and condition monitoring of electric motors is a topic of high interest nowadays. This article addresses an application which acquires machine data, processes it on an IIoT platform to get the system health and visualizes the results online in an augmented reality user interface.

Concept and Implementation of a CyberPbysical Digital Twin for a SMT Line This paper conducted research on the concept design and implementation of a cyberphysical digital twin system for manufacturing. Based on literature reviews and industry requirements for a cyberphysical digital twin system for manufacturing, this paper proposed a concept design architecture of a cyberphysical digital twin system and its implementation methodology. An application of building a cyberphysical digital twin system for a SurfaceMountedTechnology (SMT) line is illustrated based on the proposed concept and framework. The basic requirements of the proposed cyberphysical digital twin system are divided into three layers, i.e. operations layer, visualization layer, and intelligence layer. Operations layer is about systems modeling of the physical processes and establishing connections with the cyberspace. Visualization layer is related to the collection and displaying of the historical and present data in a visual manner. The intelligence layer is the ability to conduct data analytics and decision makings to identify patterns and bottlenecks, reduce waste, perform predictive maintenance, etc. A proof of the concept prototype is developed based on the proposed cyberphysical digital twin system for a SMT line.