Bearing component damage contributes significantly to rotating machinery failures. It is vital
for the rotor-bearing system to be in good condition to ensure the proper functioning of the …

A bearing is a key component in rotating machinery. The prompt monitoring of a bearings'
condition is critical for the reduction of mechanical accidents. With the rapid development of …

In this era of advanced manufacturing, it's now more crucial than ever to diagnose machine
faults as early as possible to guarantee their safe and efficient operation. With the massive …

This work presents a fully automatic method for extracting running-in information from data of
hermetic reciprocating compressors by analyzing clusters of subsequenced time series data …

In response to the problems of limited algorithms and low diagnostic accuracy for fault
diagnosis in large tractor transmission systems, as well as the high noise levels in tractor …

The fast and accurate detection of wind turbine gearbox surface defects is crucial for wind
turbine maintenance and power security. However, owing to the uneven distribution of gear …

Background and objectives: Artificial intelligence has established itself as a disruptive force
in a wide range of industries, including auditing. Over the last decade, Artificial Intelligence …

This research aims to investigate accurate classification of anomalous vibrations produced
during vehicle operation. The main research questions are which data can be used as …

Objetivos: La inteligencia artificial se ha establecido como una fuerza disruptiva en una
amplia gama de industrias, incluida la auditoría. En la última década, la Inteligencia artificial …

Condition monitoring of replaceable components in underground drill rigs using machine
learning is a difficult task, as the operating conditions may vary considerably between each …