Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

Machine tools play a pivotal role in the manufacturing world since their performance
significantly affects the product quality and production efficiency. In the era of Industry 4.0 …

Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …

To overcome the limitations associated with purely physics-based and data-driven modeling
methods, hybrid, physics-based data-driven models have been developed, with improved …

Bearing fault diagnosis plays an important role in rotating machinery equipment's safe and
stable operation. However, the fault sample collected from the equipment is seriously …

In the context of Industry 4.0, companies understand the advantages of performing
Predictive Maintenance (PdM). However, when moving towards PdM, several …

Intelligent fault diagnosis based on deep learning has been more attractive in practical
engineering. However, its accuracy is constrained by unlabeled data and large domain shift …

Abstract Industry 4.0 (I4. 0) provides connectivity, data volume, new devices, miniaturization,
inventory reduction, personalization, and controlled production. In this new era …

Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …

This article addresses the evolution of Industry 4.0 (I4. 0) in the automotive industry,
exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly …