Induction machines (IMs) are widely used in different applications. Unpredicted breakdown
of these machines usually leads to costly downtimes and repairs. These expenses can be …

This paper develops an online interturn fault diagnosis method for permanent magnet
synchronous machine (PMSM). The mathematical model of the PMSM with interturn fault is …

It has been shown in the past that the zero-sequence current spectrum can be reliably used
to detect broken bar faults in induction motors. Previous work was carried out with extensive …

The diagnosis of induction machines using Fourier transform relies on tracking the
frequency signature of each type of fault in the current's spectrum, but this signature …

Two common defects in induction machines (IMs) are eccentricity and interturn faults, which
should be diagnosed to prevent performance degradation and further damage. A popular …

Early detection of interturn faults is one of the most important issues in electrical machines,
as the fault severity evolves very fast to a catastrophic failure due to the high thermal stress …

Induction motors are used in a variety of industrial applications where frequent startup cycles
are required. In those cases, it is necessary to apply sophisticated signal processing …

Most of the existing electrical techniques of condition monitoring and fault diagnosis are
based on frequency analysis of signals measured externally to the motor. In this paper, it is …

One of the most common deficiencies of currently existing induction motor fault diagnosis
techniques is their lack of automatization. Many of them rely on the qualitative interpretation …

This paper proposed an on-line inter-turn short-circuit (ITSC) fault diagnosis approach by
observing the dc component in the torque deviation for the open-end winding (OW) five …