With the continuous increase in complexity and expense of industrial systems, there is less
tolerance for performance degradation, productivity decrease, and safety hazards, which …

Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …

Bearing faults are the main contributors to the failure of electric motors. Although a number
of vibration analysis methods have been developed for the detection of bearing faults, false …

The detection, diagnostic, and prognostic of bearing degradation play a key role in
increasing the reliability and safety of electrical machines, especially in key industrial …

With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …

Empirical mode decomposition (EMD) is a way of decomposing complex signals into a sum
of “mono-components”, ie intrinsic mode functions (IMFs), each of which can be considered …

Feature selection represents the main challenge against the classification strategies for
several applications of signal processing. Besides, the high computational speed and …

Cities that are adopting innovative and technology‐driven solutions to improve the city's
efficiency are considered smart cities. With the increased attention on smart cities with self …

Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields.
In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the …

The rotational frequency (RF) is an important information for multi-fault features detection of
rolling bearing under varying speed conditions. In the traditional methods, such as the …