As one of the key components in rotating machinery, rolling bearings can affect the running
state of equipment and even cause huge damage. Therefore, various methods have been …

This paper presents an efficient approach to diagnose defects in various components of
bearings in rotating machines using vibration signature analysis. This Automated fault …

Rolling bearings are commonly used components in rotating machinery and play a vital role.
When the bearing fails, if it cannot be found and repaired in time, it will cause great …

The performance versus interpretability trade-off has been well-established in the literature
for many years in the context of machine learning models. This paper demonstrates its twin …

Bearings are the most vulnerable component in low-voltage induction motors from a
maintenance standpoint. Vibration monitoring is the benchmark technique for identifying …

Time-frequency analysis is a widely used detection tool for the rotating machinery fault
signals. The mechanical bearing fault vibration signals are a non-stationary and non …

Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …

Bearings are one of the most widely used components of rotary machines. To keep these
bearings running in the best condition, several techniques for the early diagnosis of faults …

Induction motors are in high demand for industrial applications due to their reliable and
efficient performance compared to other electrical motors. Therefore, the implementation of a …

The On-Load Tap-Changer (OLTC), as the sole moving component within a transformer,
necessitates routine maintenance to ensure dependable operation. Among the primary …