Featured Application This article is focused on a literature review to provide a valuable
resource for understanding the latest developments in the Maintenance 4.0 approach. The …

The food industry faces many challenges, including the need to feed a growing population,
food loss and waste, and inefficient production systems. To cope with those challenges …

The hard drive is one of the important components of a computing system, and its failure can
lead to both system failure and data loss. Therefore, the reliability of a hard drive is very …

This chapter presents a Digital Twin Pipeline Framework of the COGNITWIN project that
supports Hybrid and Cognitive Digital Twins, through four Big Data and AI pipeline steps …

The production of food is highly complex due to the various chemo-physical and biological
processes that must be controlled for transforming ingredients into final products. Further …

Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders
at many levels much faster, with much greater granularity than ever before. When it comes to …

Performing predictive maintenance (PdM) is challenging for many reasons. Dealing with
large datasets which may not contain run-to-failure data (R2F) complicates PdM even more …

Digital twins, virtual representations of real-life physical objects or processes, are becoming
widely used in many different industrial sectors. One of the main uses of digital twins is …

Production processes must allow high flexibility and adaptivity to ensure food supply. This
includes reacting to disruptions in the supply of ingredients, as well as the varying quality of …

Digital twins, virtual representations of real-life physical objects or processes, are becoming
widely used in many different industrial sectors. One of the main uses of digital twins is …