Induction motors make up approximately 80% of the electric motors in the railway sector due
to their robustness, high efficiency, and low maintenance cost. Nevertheless, these motors …

Induction motors (IM) are susceptible to mechanical failures with severe consequences for
production lines; hence, detection and classification of IM faults have been of great interest …

Ground penetrating Radar (GPR) can detect and deliver the response signal from any
buried kind of object like plastic or metallic landmines, stones, and wood sticks. It delivers …

In this study, we focus on the application of anomaly detection for three-phase induction
motors using current data, a crucial aspect of predictive maintenance technologies …

Research on data-driven bearing fault diagnosis techniques has recently drawn more and
more attention due to the availability of massive condition monitoring data. The research …

The aim of this work is to study the influence of closed loop control on diagnostic indices of
both broken bar and mixed air-gap eccentricity fault indices of the squirrel cage induction …

The knowledge of Broken Rotor Bars (BRB) fault characteristic frequencies and amplitudes
is an absolute must in the diagnosis of Squirrel Cage Induction Machine (SCIM). In order to …

Anomaly detection and process monitoring are crucial technologies for controlling industrial
site processes. The application of predictive maintenance technology, which has the …

Under time-varying working conditions, the vibration signals of rolling bearings have
problems such as amplitude changes, pulsating impact intervals, non-constant sampling …

With the development of technologies such as sensing and the scale of industrial
production, the equipment data can be gathered massively. For induction motors, the health …