Abstract The automation of Fault Detection and Diagnosis (FDD) is a central task for many
industries today. A myriad of methods are in use, although the most recent leading …

There is an increasing interest in improving energy efficiency and reducing operational costs
of induction motors in the industry. These costs can be significantly reduced, and the …

Effective fault diagnosis is a crucial way to reduce the occurrence of severe damages of
many industrial products. With the increasing amount of condition monitoring data, deep …

Permanent magnet synchronous motor (PMSM) is one of the common core power
components in modern industrial systems. Early fault diagnosis can avoid major accidents …

Fault diagnosis plays an important role in ensuring process safety. It is noted that imbalance
between fault data and normal data always exists, and multifault obviously outranges a …

Multi-label learning has garnered much research interest due to its wide range of real-world
applications. Many multi-label learning methods have been proposed; however, few have …

This paper studies the effects that combinations of balancing and feature selection
techniques have on wide data (many more attributes than instances) when different …

Bearings and tools are the important parts of the machine tool. And monitoring automatically
the fault of bearings and the wear of tools under different working conditions is the …

Induction motors (IM) are key components of any industrial process; hence, it is important to
carry out continuous monitoring to detect incipient faults in them in order to avoid …

The incorporation of new technologies as training methods, such as virtual reality (VR),
facilitates instruction when compared to traditional approaches, which have shown strong …