At present, the fourth industrial revolution is pushing factories toward an intelligent,
interconnected grid of machinery, communication systems, and computational resources …

Data mining is a technological and scientific field that, over the years, has been gaining
more importance in many areas, attracting scientists, developers, and researchers around …

Abstract A novel Dynamic Kernel PCA (DKPCA) method is developed for process monitoring
in nonlinear dynamical systems. Classical DKPCA approaches still exhibit vague linearity …

A novel fractal dimension estimation method based on VMD is proposed in this paper. VMD
is utilized to decompose the multi-component signal into several components. Multi …

Robotic systems are a fundamental part of modern industrial development. In this regard,
they are required for long periods, in repetitive processes that must comply with strict …

Fault detection in induction motors operating in non-stationary regimes has become a need
in today's industry. Most of the works published deal with line-fed motors. Nevertheless, the …

Squirrel-cage induction motors (SCIMs) are key machines in many industrial applications. In
this regard, the monitoring of their operating condition aiming at avoiding damage and …

Due to the merits of Lamb wave to Structural Health Monitoring (SHM) of composite, the
Lamb wave-based damage detection and identification technology show a potential solution …

Fault detection in induction motors operating in non-stationary regimes has become a need
in today's industry. Moreover, the number of fed induction motors has significantly increased …

The problem of detecting and quantifying bar breakage harmonics in inverter-fed induction
motors has not been solved by the time–frequency transforms present in the technical …