Smart manufacturing is the modern form of that utilises Industry 4.0 enablers for decision making and resources planning by taking advantage available data. Therefore, state art technologies are either replaced or improved using newly introduced paradigm. In practice, condition monitoring an on-going activity preserves facility capability to deliver its production aims decrease discontinuity as...

Abstract Previous literature has highlighted many opportunities for digital technologies, such as the Internet of Things (IoT) and data analytics, to enable circular strategies, i.e., strategies which support transition a economy (CE). As one key are apparent, maintenance is selected focus area this study. In field maintenance, IoT analytics companies implement condition-based (CBM), based on m...

The incorporation of new technologies as training methods, such virtual reality (VR), facilitates instruction when compared to traditional approaches, which have shown strong limitations in their ability engage young students who grown up the smartphone culture continuous entertainment. Moreover, not all educational centers or organizations are able incorporate specialized labs equipment for an...


 Industry 4.0 is the fourth industrial revolution where machine operations are linked through data communications and together, they form a production ecosystem. In settings, these monitored, recorded analyzed. This can be performed at Edge, Fog or Cloud levels.
 big era, with ever maturing sensor technologies, capture, communication storage utilizing for operational insights provide...

The process industry is increasingly making use of Risk Based Inspection (RBI) techniques to develop cost and/or safety optimal inspection plans. This paper proposes an adaptive Bayesian decision model to determine these optimal inspection plans under uncertain deterioration. It uses the gamma stochastic process to model the corrosion damage mechanism and Bayes’ theorem to update prior knowledg...

This paper deals with the condition-based maintenance of single-unit systems which are subject to the competing and dependent failures due deterioration and traumatic shock events. The main aim is to provide a model to assess the value of condition monitoring information for the maintenance decision-making. A condition-based periodic inspection/replacement policy is developed and compared with ...