Since the early 1980s, wind power technology has experienced an immense growth with
respect to both the turbine size and market share. As the demand for large-scale wind …

Magnetic flux analysis is a condition monitoring technique that is drawing the interest of
many researchers and motor manufacturers. The great enhancements and reduction in the …

Rolling bearing faults are generally slowly progressive; therefore, the development of an
effective diagnostic technique could be worth detecting such faults in their incipient phase …

Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …

In complex industrial environments, the vibration signal of the rolling bearing is covered by
noise, which makes fault diagnosis inaccurate. In order to overcome the effect of noise on …

Nowadays, electrical machines and drive systems are playing an essential role in different
applications. Eventually, various failures occur in long-term continuous operation. Due to the …

The induction motors are widely used in different industry areas which can experience
various kinds of faults in stators and rotors. In order to early diagnose motor faults, the …

Spectral coherence (SCoh) is one of the most dedicated methods for characterizing the
second-order cyclostationarity of bearing faults. Under the assumption of second-order …

This work is a review of current trends in the stray flux signal processing techniques applied
to the diagnosis of electrical machines. Initially, a review of the most commonly used …

Fault diagnosis of rolling bearings is significant for mechanical equipment operation and
maintenance. Presently, the deep convolutional neural network (CNN) is increasingly used …