Industry 4.0 has transformed manufacturing with real-time plant data collection across
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …

Under the dual influence of dual-carbon policies and the complex international situation,
manufacturing enterprises urgently need to build digital value chain ecosystems to adapt to …

Predictive maintenance is a promising concept for maintenance optimization which requires
reliable and accurate predictions of a system's lifetime. Despite the many studies on this …

Smart manufacturing was given unparalleled chances by data-driven approaches, speeding
up the shift to Industry 4.0 ways of production. Machine learning and deep learning are …

Predictive Maintenance (PdM) plays a key role in production management by extending the
lifespan of components and reducing maintenance costs. In the manufacture of …

The composition of increasing attention to sustainability issues, heightened consumer
consciousness, and a wide variety of machine learning applications have driven and …

In the contemporary landscape of battery production, the integration of data-driven predictive
maintenance strategies stands out as a pivotal enhancement to operational efficiency and …

Perawatan aset penting untuk menjaga kinerja dan memperpanjang umur. Penjadwalan
perawatan optimal penting untuk meminimalkan downtime dan memaksimalkan …

Abstract Sensorless Field-Oriented Control (FOC) for 3-phase Permanent Magnet
Synchronous Motors (PMSM) requires motor phase current information. This paper …

This thesis aims to develop a low-cost data acquisition system to record electrical resistance
and deformation data in self-sensing smart cement specimens. Subsequently, the …