Stator current modeling for defective induction motor rolling bearings (IMRBs) based on
magnetic equivalent circuits (MEC) is carried out. A dynamic model of rotor system …

Fault Detection and Diagnosis of electrical machine and drive systems are of utmost
importance in modern industrial automation. The widespread use of Machine Learning …

Featured Application The results of this work can be included in the design stage of modular
permanent magnet synchronous machines for fault-tolerant applications. Abstract …

Many industrial applications use the induction machine for its advantages, like robustness.
But like any other machines, it can be affected by several faults such as broken rotor bars …

This paper investigates the condition monitoring field of the rotating electrical machines.
Several types of rotating electrical machinery that is present in the industry such as …

This paper presents the detailed detection of broken rotor bar faults in squirrel cage
induction motors (SCIMs). This study used three diagnostic techniques. Early faults detection …

Fault diagnosis in rotating electrical machines is an essential phase in order to maintain the
good health of the entire system. Several techniques have been used in this field to have an …

Primary importance is devoted to Fault Detection and Diagnosis (FDI) of electrical machine
and drive systems in modern industrial automation. The widespread use of Machine …

Bearing faults (BFs) are one of the main failure roots for induction motors (IMs) systems. It is
necessary to monitor the conditions of IMs during their operation to prevent such failures …

Early detection of machine failure is crucial in every industrial setting as it may prevent
unexpected process downtimes as well as system failures. However, machine learning (ML) …