Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

In the advent of the digital revolution, Artificial Intelligence (AI) has emerged as a pivotal tool
in various domains, including materials design and discovery. This paper provides a …

Implementation of the smart transformer concept is critical for the deployment of IIoT-based
smart grids. Top manufacturers of power electrics develop and adopt online monitoring …

Multilevel Inverters (MLIs) are widely sought after in medium-voltage applications like
electric ships, electric aircraft, and renewable energy integration due to excellent …

This paper presents an evaluation of the effectiveness of envelope detection in ultra high
frequency to locate partial discharge sources in high voltage equipment. Traditionally, this is …

In this study, a predictive maintenance (PdM) system focused on feature selection for the
detection and classification of simulated defects in wind turbine blades has been developed …

This study uses machine learning (ML) techniques to predict maximum flank wear on cutting
tools during the turning of Ti6Al4V, a titanium alloy known for its challenging machinability …

Improving the ability and accuracy of intelligent state prediction of large and complex
equipment is one of the important directions of current intelligent operation and maintenance …

In recent years, the fourth industrial revolution has drawn interest from all across the world.
Many concepts emerged from this new revolution, one of which being predictive …

There are systems dedicated to measuring the eccentricity of enameled wires based on
optical and electromagnetic phenomena. However, these methods are limited by the nature …