Abstract Industry 4.0 denotes smart manufacturing, where rotating machines predominantly
serve as the fundamental components in production sectors. The primary duty of …

As the concept of Industry 4.0 is introduced, artificial intelligence-based fault analysis is
attracted the corresponding community to develop effective intelligent fault diagnosis and …

Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

Within smart manufacturing, data driven techniques are commonly adopted for condition
monitoring and fault diagnosis of rotating machinery. Classical approaches use supervised …

Condition monitoring of electrical Rotating Machines (RM) serves in structural changes
detection during machine's operation. However, the frequent fault occurrence reduces the …

In the Engineering discipline, predictive maintenance techniques play an essential role in
improving system safety and reliability of industrial machines. Due to the adoption of crucial …

Rotating machinery is a very important mechanical device widely used in critical industrial
applications. Efficient fault detection and diagnosis are key challenges in the maintenance …

Rotating machinery is ubiquitous in modern industrial systems. Ensuring optimal operating
conditions for rotating machinery is essential to satisfy stringent requirements on safety …

Ensuring the operational safety and reliability of rotary machinery systems, especially in oil
plants, has become a focal point in both academic and industry arenas. Specifically, in terms …

Fault diagnosis of rotating machines is an important task to prevent machinery downtime,
and provide verifiable support for condition-based maintenance (CBM) decision-making …