We present the development of inferential sensors that use system input and output
measurements to improve the accuracy and robustness of fault detection and isolation …

Much research is done on data analytics and machine learning for data coming from
industrial processes. In practical approaches, one finds many pitfalls restraining the …

Advances in technology and digitalization offer huge potential for improving the performance
of production systems. However, human limitations often function as an obstacle in realizing …

Electro-mechanical systems operating in periodic cycles are pivotal in the Industry 4.0,
enabling automated processes that enhance efficiency and productivity. Early detection of …

Nowadays cross-industry ranging challenges include the reduction of greenhouse gas
emission and enabling a circular economy. However, the production of paper from waste …

Operator assistance systems can help to reduce disturbance-related machine downtime in
food production and packaging processes, especially when combined with machine …

Gıda endüstrisinde paketleme, paket içerisindeki ürünü korumak, içeriğinin sağlık açısından
güvenliğini sağlamak ve tüketicinin albenisini kazanmak gibi sebeplerden ötürü içerisindeki …

À l'heure de l'Industrie 4.0, une multitude de données est enregistrée tout au long des
processus de production. Ces données sont riches d'information et peuvent servir à …

Abstract (EN) The paper production industry has witnessed significant advancements in
automation, yet human expertise remains crucial for process control due to its complexity …

This study introduces a method to optimize charging strategies for Automated Guided
Vehicles in warehouses and logistics centers, aiming to enhance e ciency and reduce …