Fatigue life prediction is critical for ensuring the safe service and the structural integrity of
mechanical structures. Although data-driven approaches have been proven effective in …

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 …

Effective fault diagnosis is important to ensure the reliability, safety, and efficiency of
industrial robots. This article proposes a simple yet effective data acquisition strategy based …

Hydraulic systems are usually applied in large and complex engineering fields. For
hydraulic systems or components in operation, it is difficult to obtain fault data with fault …

Fault diagnosis is of great significance to ensure the reliability and safety of complex bevel
gearbox systems. Most existing intelligent fault diagnosis approaches of bevel gearboxes …

Due to ultralow defect formation energy, borophene differs significantly from other 2D (two-
dimensional) materials in that it is difficult to distinguish between its crystal and boron (B) …

Effective application of fault diagnosis models requires that new fault types can be
recognized rapidly after they occur few times, even only one time. To this end, a self …

Predictive maintenance to avoid fatigue and failure enhances the reliability of mechanics,
herewith, this paper explores vibrational time-domain data in advancing fault diagnosis of …

Drones are unmanned aerial vehicles (UAV) utilized for a broad range of functions,
including delivery, aerial surveillance, traffic monitoring, architecture monitoring, and even …

Wind power has emerged as a crucial renewable energy source, experiencing significant
growth in recent years. However, blade icing remains a pressing challenge in the operation …