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) …

Fault diagnosis is the key concern in the operation and maintenance of industrial assets. A
fault diagnosis knowledge graph (KG) can provide decision support to the engineers to …

Accurate remaining useful life prediction (RUL) is important for the reliability and safety of
liquid rocket engines. In this paper, a meta network pruning framework with attention …

Compound faults inevitably occur in multi-joint industrial robots resulting in excessive
vibration. Intelligent diagnosis for the occurrence and position of fault joints can efficiently …

Transmission systems of industrial robots are prone to get failures due to harsh operating
environments. Fault diagnosis is of great significance for realizing safe operations for …

In practical industrial scenarios, the variations of operating conditions such as load and
rotational speed make mechanical systems subject to complex and variable environmental …

Bearing condition is a non-negligible part of mechanical equipment health monitoring. Most
of the existing bearing fault diagnosis methods are based on the premise that all data …

Few-shot fault diagnosis aims to detect novel faults with only a few labeled samples in each
category. Most of the few-shot learning (FSL)–based fault diagnosis models use meta …

This paper presents the problem of rolling bearing fault diagnosis based on vibration
velocity signal. For this purpose, recurrence plots and quantification methods are used for …

Precise air conditioners are renowned for their ability to deliver accurate and stable air
output. However, achieving precise temperature control can be challenging due to the …