Abstract
The success of the IoT applications in the field of Information Technologies has led to its spread to different areas of use. In this study, the performance management of infrastructures developed using Industrial IoT sensors is examined. First, the impact of performance management in different sectors is explained. Then, different definitions and types of maintenance in the literature are explained comparatively. Then, big datasets obtained with Industrial IoT sensors and their applications are discussed. Also, studies conducted in different fields with different methods using trend monitoring applications are mentioned. The common aspect of these studies is that they provide applications that increase performance management through trend monitoring. The combination of all these concepts and technologies represents a positive effect. For the sustainability of this effect and performance management, decision making strategies in the predictive maintenance of the devices are mentioned.
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This study was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) with project number 122E610.
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Balta Kaç, S., Eken, S. (2024). Artificial Intelligence in Industrial Internet of Things: A Concise Review of Performance Management. In: García Márquez, F.P., Jamil, A., Ramirez, I.S., Eken, S., Hameed, A.A. (eds) Computing, Internet of Things and Data Analytics. ICCIDA 2023. Studies in Computational Intelligence, vol 1145. Springer, Cham. https://doi.org/10.1007/978-3-031-53717-2_2
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